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    fredbrowne/README.md

    Fred Browne

    Engineer Manager | Senior Data Engineer | AI, Computer Vision, & Machine Learning enthusiast

    As an Engineering Manager with over 14 years of IT experience, I have a proven track record of delivering impactful results through my expertise in Data Engineering, Software Development, System Upgrades and Business Analysis. I have extensive data experience with Oracle's JD Edwards EnterpriseOne for multiple modules and have worked with multiple Data Pipelines from in-house software as well as open-source and commercial software.

    As a JD Edwards Architect in the Application Architecture team, I served as the technical lead for the EnterpriseOne Upgrade to 9.2, where I successfully identified and solved implementation and standard bugs. I also won a Challenge promoted by FIAP in partnership with EcoRodovias, where I developed a sustainable AI Computer Vision solution using Python, OpenCV, and a dashboard in Django. This solution measures and alerts when to cut the grass across the road, identified by images taken from cameras to avoid surpassing the maximum height defined by the Government.

    Currently, as an Engineering Manager, I am responsible for leading a team of Data Engineers, providing guidance on ETL processes, data modeling, and data treatment to BI Visualization. I have a fast-learning ability and am result-driven, accountable, and always seeking knowledge with a curious approach to new challenges. I promote teamwork, knowledge sharing, and partnership with my co-workers and clients to deliver results at the highest level of capacity.

    My technical skills include proficiency in Python, SQL, Git, Airflow, Terraform, dbt, Google Cloud Platform, AWS, Data Modeling, Big Data Ecosystem (Hadoop, Hue), Apache Spark, Agile, JIRA, Computer Vision (OpenCV2), Pandas, Numpy, Matplotlib, LangChain, Prompt Engineering, Postgres, Oracle Database, MySQL, Django, and JD Edwards EnterpriseOne 7.3, 8.2, and 9.2.

    With a focus on AI and Data Engineering, my leadership and technical expertise enable me to drive continuous innovation and deliver value to clients through effective strategic direction.

    Pinned Loading

    1. turboYAMLturboYAMLPublic

      An AI-powered CLI tool for converting DBT SQL files to YAML using OpenAI.

      Python 12 2

    , 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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});
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addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
fredbrowne (Fred Browne) · GitHub
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      Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
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      fredbrowne/README.md
      Fred Browne
      Engineer Manager | Senior Data Engineer | AI, Computer Vision, & Machine Learning enthusiast
      As an Engineering Manager with over 14 years of IT experience, I have a proven track record of delivering
impactful results through my expertise in Data Engineering, Software Development, System Upgrades and Business Analysis. I have extensive data experience with Oracle's JD Edwards EnterpriseOne for multiple modules and have worked with multiple Data Pipelines from in-house software as well as open-source and commercial software.
      As a JD Edwards Architect in the Application Architecture team, I served as the technical lead for the EnterpriseOne Upgrade to 9.2, where I successfully identified and solved implementation and standard bugs. I also won a Challenge promoted by FIAP in partnership with EcoRodovias, where I developed a sustainable AI Computer Vision solution using Python, OpenCV, and a dashboard in Django. This solution measures and alerts when to cut the grass across the road, identified by images taken from cameras to avoid surpassing the maximum height defined by the Government.
      Currently, as an Engineering Manager, I am responsible for leading a team of Data Engineers, providing guidance on ETL processes, data modeling, and data treatment to BI Visualization. I have a fast-learning ability and am result-driven, accountable, and always seeking knowledge with a curious approach to new challenges. I promote teamwork, knowledge sharing, and partnership with my co-workers and clients to deliver results at the highest level of capacity.
      My technical skills include proficiency in Python, SQL, Git, Airflow, Terraform, dbt, Google Cloud Platform, AWS, Data Modeling, Big Data Ecosystem (Hadoop, Hue), Apache Spark, Agile, JIRA, Computer Vision (OpenCV2), Pandas, Numpy, Matplotlib, LangChain, Prompt Engineering, Postgres, Oracle Database, MySQL, Django, and JD Edwards EnterpriseOne 7.3, 8.2, and 9.2.
      With a focus on AI and Data Engineering, my leadership and technical expertise enable me to drive continuous innovation and deliver value to clients through effective strategic direction.
      
Pinned
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      1. turboYAMLturboYAMLPublic
        
An AI-powered CLI tool for converting DBT SQL files to YAML using OpenAI.

        Python
12

2

      
, 'i');
if (__m === '*' || __re.test(location.href)) {
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var style = document.createElement('style');
style.textContent = '
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color-scheme: dark light;
}
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
fredbrowne (Fred Browne) · GitHub
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        Achievements
        Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
        Achievements
        Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
        
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        fredbrowne/README.md
        Fred Browne
        Engineer Manager | Senior Data Engineer | AI, Computer Vision, & Machine Learning enthusiast
        As an Engineering Manager with over 14 years of IT experience, I have a proven track record of delivering
impactful results through my expertise in Data Engineering, Software Development, System Upgrades and Business Analysis. I have extensive data experience with Oracle's JD Edwards EnterpriseOne for multiple modules and have worked with multiple Data Pipelines from in-house software as well as open-source and commercial software.
        As a JD Edwards Architect in the Application Architecture team, I served as the technical lead for the EnterpriseOne Upgrade to 9.2, where I successfully identified and solved implementation and standard bugs. I also won a Challenge promoted by FIAP in partnership with EcoRodovias, where I developed a sustainable AI Computer Vision solution using Python, OpenCV, and a dashboard in Django. This solution measures and alerts when to cut the grass across the road, identified by images taken from cameras to avoid surpassing the maximum height defined by the Government.
        Currently, as an Engineering Manager, I am responsible for leading a team of Data Engineers, providing guidance on ETL processes, data modeling, and data treatment to BI Visualization. I have a fast-learning ability and am result-driven, accountable, and always seeking knowledge with a curious approach to new challenges. I promote teamwork, knowledge sharing, and partnership with my co-workers and clients to deliver results at the highest level of capacity.
        My technical skills include proficiency in Python, SQL, Git, Airflow, Terraform, dbt, Google Cloud Platform, AWS, Data Modeling, Big Data Ecosystem (Hadoop, Hue), Apache Spark, Agile, JIRA, Computer Vision (OpenCV2), Pandas, Numpy, Matplotlib, LangChain, Prompt Engineering, Postgres, Oracle Database, MySQL, Django, and JD Edwards EnterpriseOne 7.3, 8.2, and 9.2.
        With a focus on AI and Data Engineering, my leadership and technical expertise enable me to drive continuous innovation and deliver value to clients through effective strategic direction.
        
Pinned
Loading
        1. turboYAMLturboYAMLPublic
          
An AI-powered CLI tool for converting DBT SQL files to YAML using OpenAI.

          Python
12

2

        
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
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style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
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parts.forEach(function(part, i) {
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span.className = 'userscript-highlight';
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Array.from(node.childNodes).forEach(highlight);
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highlight(document.body);
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mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
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observer.observe(document.body, { childList: true, subtree: true });
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}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
fredbrowne (Fred Browne) · GitHub
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        4
followers
 · 7
following

          Achievements
          Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
          Achievements
          Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
          
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          fredbrowne/README.md
          Fred Browne
          Engineer Manager | Senior Data Engineer | AI, Computer Vision, & Machine Learning enthusiast
          As an Engineering Manager with over 14 years of IT experience, I have a proven track record of delivering
impactful results through my expertise in Data Engineering, Software Development, System Upgrades and Business Analysis. I have extensive data experience with Oracle's JD Edwards EnterpriseOne for multiple modules and have worked with multiple Data Pipelines from in-house software as well as open-source and commercial software.
          As a JD Edwards Architect in the Application Architecture team, I served as the technical lead for the EnterpriseOne Upgrade to 9.2, where I successfully identified and solved implementation and standard bugs. I also won a Challenge promoted by FIAP in partnership with EcoRodovias, where I developed a sustainable AI Computer Vision solution using Python, OpenCV, and a dashboard in Django. This solution measures and alerts when to cut the grass across the road, identified by images taken from cameras to avoid surpassing the maximum height defined by the Government.
          Currently, as an Engineering Manager, I am responsible for leading a team of Data Engineers, providing guidance on ETL processes, data modeling, and data treatment to BI Visualization. I have a fast-learning ability and am result-driven, accountable, and always seeking knowledge with a curious approach to new challenges. I promote teamwork, knowledge sharing, and partnership with my co-workers and clients to deliver results at the highest level of capacity.
          My technical skills include proficiency in Python, SQL, Git, Airflow, Terraform, dbt, Google Cloud Platform, AWS, Data Modeling, Big Data Ecosystem (Hadoop, Hue), Apache Spark, Agile, JIRA, Computer Vision (OpenCV2), Pandas, Numpy, Matplotlib, LangChain, Prompt Engineering, Postgres, Oracle Database, MySQL, Django, and JD Edwards EnterpriseOne 7.3, 8.2, and 9.2.
          With a focus on AI and Data Engineering, my leadership and technical expertise enable me to drive continuous innovation and deliver value to clients through effective strategic direction.
          
Pinned
Loading
          1. turboYAMLturboYAMLPublic
            
An AI-powered CLI tool for converting DBT SQL files to YAML using OpenAI.

            Python
12

2

          
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
fredbrowne (Fred Browne) · GitHub
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          View fredbrowne's full-sized avatar
          4
followers
 · 7
following

            Achievements
            Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
            Achievements
            Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
            
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            fredbrowne/README.md
            Fred Browne
            Engineer Manager | Senior Data Engineer | AI, Computer Vision, & Machine Learning enthusiast
            As an Engineering Manager with over 14 years of IT experience, I have a proven track record of delivering
impactful results through my expertise in Data Engineering, Software Development, System Upgrades and Business Analysis. I have extensive data experience with Oracle's JD Edwards EnterpriseOne for multiple modules and have worked with multiple Data Pipelines from in-house software as well as open-source and commercial software.
            As a JD Edwards Architect in the Application Architecture team, I served as the technical lead for the EnterpriseOne Upgrade to 9.2, where I successfully identified and solved implementation and standard bugs. I also won a Challenge promoted by FIAP in partnership with EcoRodovias, where I developed a sustainable AI Computer Vision solution using Python, OpenCV, and a dashboard in Django. This solution measures and alerts when to cut the grass across the road, identified by images taken from cameras to avoid surpassing the maximum height defined by the Government.
            Currently, as an Engineering Manager, I am responsible for leading a team of Data Engineers, providing guidance on ETL processes, data modeling, and data treatment to BI Visualization. I have a fast-learning ability and am result-driven, accountable, and always seeking knowledge with a curious approach to new challenges. I promote teamwork, knowledge sharing, and partnership with my co-workers and clients to deliver results at the highest level of capacity.
            My technical skills include proficiency in Python, SQL, Git, Airflow, Terraform, dbt, Google Cloud Platform, AWS, Data Modeling, Big Data Ecosystem (Hadoop, Hue), Apache Spark, Agile, JIRA, Computer Vision (OpenCV2), Pandas, Numpy, Matplotlib, LangChain, Prompt Engineering, Postgres, Oracle Database, MySQL, Django, and JD Edwards EnterpriseOne 7.3, 8.2, and 9.2.
            With a focus on AI and Data Engineering, my leadership and technical expertise enable me to drive continuous innovation and deliver value to clients through effective strategic direction.
            
Pinned
Loading
            1. turboYAMLturboYAMLPublic
              
An AI-powered CLI tool for converting DBT SQL files to YAML using OpenAI.

              Python
12

2

            
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
fredbrowne (Fred Browne) · GitHub
            Skip to content
            View fredbrowne's full-sized avatar
            4
followers
 · 7
following

              Achievements
              Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
              Achievements
              Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
              
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              fredbrowne/README.md
              Fred Browne
              Engineer Manager | Senior Data Engineer | AI, Computer Vision, & Machine Learning enthusiast
              As an Engineering Manager with over 14 years of IT experience, I have a proven track record of delivering
impactful results through my expertise in Data Engineering, Software Development, System Upgrades and Business Analysis. I have extensive data experience with Oracle's JD Edwards EnterpriseOne for multiple modules and have worked with multiple Data Pipelines from in-house software as well as open-source and commercial software.
              As a JD Edwards Architect in the Application Architecture team, I served as the technical lead for the EnterpriseOne Upgrade to 9.2, where I successfully identified and solved implementation and standard bugs. I also won a Challenge promoted by FIAP in partnership with EcoRodovias, where I developed a sustainable AI Computer Vision solution using Python, OpenCV, and a dashboard in Django. This solution measures and alerts when to cut the grass across the road, identified by images taken from cameras to avoid surpassing the maximum height defined by the Government.
              Currently, as an Engineering Manager, I am responsible for leading a team of Data Engineers, providing guidance on ETL processes, data modeling, and data treatment to BI Visualization. I have a fast-learning ability and am result-driven, accountable, and always seeking knowledge with a curious approach to new challenges. I promote teamwork, knowledge sharing, and partnership with my co-workers and clients to deliver results at the highest level of capacity.
              My technical skills include proficiency in Python, SQL, Git, Airflow, Terraform, dbt, Google Cloud Platform, AWS, Data Modeling, Big Data Ecosystem (Hadoop, Hue), Apache Spark, Agile, JIRA, Computer Vision (OpenCV2), Pandas, Numpy, Matplotlib, LangChain, Prompt Engineering, Postgres, Oracle Database, MySQL, Django, and JD Edwards EnterpriseOne 7.3, 8.2, and 9.2.
              With a focus on AI and Data Engineering, my leadership and technical expertise enable me to drive continuous innovation and deliver value to clients through effective strategic direction.
              
Pinned
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              1. turboYAMLturboYAMLPublic
                
An AI-powered CLI tool for converting DBT SQL files to YAML using OpenAI.

                Python
12

2

              
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
fredbrowne (Fred Browne) · GitHub
              Skip to content
              View fredbrowne's full-sized avatar
              4
followers
 · 7
following

                Achievements
                Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
                Achievements
                Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
                
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                fredbrowne/README.md
                Fred Browne
                Engineer Manager | Senior Data Engineer | AI, Computer Vision, & Machine Learning enthusiast
                As an Engineering Manager with over 14 years of IT experience, I have a proven track record of delivering
impactful results through my expertise in Data Engineering, Software Development, System Upgrades and Business Analysis. I have extensive data experience with Oracle's JD Edwards EnterpriseOne for multiple modules and have worked with multiple Data Pipelines from in-house software as well as open-source and commercial software.
                As a JD Edwards Architect in the Application Architecture team, I served as the technical lead for the EnterpriseOne Upgrade to 9.2, where I successfully identified and solved implementation and standard bugs. I also won a Challenge promoted by FIAP in partnership with EcoRodovias, where I developed a sustainable AI Computer Vision solution using Python, OpenCV, and a dashboard in Django. This solution measures and alerts when to cut the grass across the road, identified by images taken from cameras to avoid surpassing the maximum height defined by the Government.
                Currently, as an Engineering Manager, I am responsible for leading a team of Data Engineers, providing guidance on ETL processes, data modeling, and data treatment to BI Visualization. I have a fast-learning ability and am result-driven, accountable, and always seeking knowledge with a curious approach to new challenges. I promote teamwork, knowledge sharing, and partnership with my co-workers and clients to deliver results at the highest level of capacity.
                My technical skills include proficiency in Python, SQL, Git, Airflow, Terraform, dbt, Google Cloud Platform, AWS, Data Modeling, Big Data Ecosystem (Hadoop, Hue), Apache Spark, Agile, JIRA, Computer Vision (OpenCV2), Pandas, Numpy, Matplotlib, LangChain, Prompt Engineering, Postgres, Oracle Database, MySQL, Django, and JD Edwards EnterpriseOne 7.3, 8.2, and 9.2.
                With a focus on AI and Data Engineering, my leadership and technical expertise enable me to drive continuous innovation and deliver value to clients through effective strategic direction.
                
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                1. turboYAMLturboYAMLPublic
                  
An AI-powered CLI tool for converting DBT SQL files to YAML using OpenAI.

                  Python
12

2

                
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filter: invert(1) hue-rotate(180deg) !important;
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pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
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var style = document.getElementById('universal-dark-mode-style');
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e.preventDefault();
enabled = !enabled;
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applyDarkMode();
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removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
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// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
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observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
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}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
fredbrowne (Fred Browne) · GitHub
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                  fredbrowne/README.md
                  Fred Browne
                  Engineer Manager | Senior Data Engineer | AI, Computer Vision, & Machine Learning enthusiast
                  As an Engineering Manager with over 14 years of IT experience, I have a proven track record of delivering
impactful results through my expertise in Data Engineering, Software Development, System Upgrades and Business Analysis. I have extensive data experience with Oracle's JD Edwards EnterpriseOne for multiple modules and have worked with multiple Data Pipelines from in-house software as well as open-source and commercial software.
                  As a JD Edwards Architect in the Application Architecture team, I served as the technical lead for the EnterpriseOne Upgrade to 9.2, where I successfully identified and solved implementation and standard bugs. I also won a Challenge promoted by FIAP in partnership with EcoRodovias, where I developed a sustainable AI Computer Vision solution using Python, OpenCV, and a dashboard in Django. This solution measures and alerts when to cut the grass across the road, identified by images taken from cameras to avoid surpassing the maximum height defined by the Government.
                  Currently, as an Engineering Manager, I am responsible for leading a team of Data Engineers, providing guidance on ETL processes, data modeling, and data treatment to BI Visualization. I have a fast-learning ability and am result-driven, accountable, and always seeking knowledge with a curious approach to new challenges. I promote teamwork, knowledge sharing, and partnership with my co-workers and clients to deliver results at the highest level of capacity.
                  My technical skills include proficiency in Python, SQL, Git, Airflow, Terraform, dbt, Google Cloud Platform, AWS, Data Modeling, Big Data Ecosystem (Hadoop, Hue), Apache Spark, Agile, JIRA, Computer Vision (OpenCV2), Pandas, Numpy, Matplotlib, LangChain, Prompt Engineering, Postgres, Oracle Database, MySQL, Django, and JD Edwards EnterpriseOne 7.3, 8.2, and 9.2.
                  With a focus on AI and Data Engineering, my leadership and technical expertise enable me to drive continuous innovation and deliver value to clients through effective strategic direction.
                  
Pinned
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                  1. turboYAMLturboYAMLPublic
                    
An AI-powered CLI tool for converting DBT SQL files to YAML using OpenAI.

                    Python
12

2