Most companies already have data. What they often lack is a reliable system that turns that data into something consistent, accurate, and usable across the business. I help companies move from fragmented data and manual reporting to structured analytics systems by building pipelines, defining metrics, and creating scalable data models that teams can actually trust. Whether you're trying to understand revenue performance, customer behavior, marketing ROI, or operational efficiency, I focus on making sure your data is not just available, but clean, well-modeled, and decision-ready. With 3+ years of experience in data analytics and business intelligence, I now work at the intersection of analytics and data engineering: building modern data workflows using tools like dbt, SQL, and cloud data warehouses. Recent Impact • Built structured data models and transformation layers that standardized reporting across teams and improved consistency in key business metrics • Designed analytics workflows that reduced manual reporting effort and improved data accessibility for stakeholders • Developed cohort and behavioral models that clarified retention patterns and supported more targeted growth strategies • Identified and resolved data inconsistencies across multiple sources, improving trust in reporting and reducing discrepancies How I Help Businesses ✔ Build and optimize ELT pipelines for clean, reliable data flow ✔ Design data models (fact/dimension tables, star schemas) for scalable analytics ✔ Implement dbt transformation layers for structured, maintainable data workflows ✔ Define and standardize business metrics across teams ✔ Validate and reconcile data to ensure accuracy and consistency ✔ Write optimized SQL for large datasets and complex transformations ✔ Build dashboards on top of well-structured data models ✔ Translate business questions into structured data solutions Types of Projects I Work On • End-to-end analytics engineering (raw → staging → marts → dashboards) • dbt project setup, modeling, testing, and documentation • Data pipeline orchestration (Airflow, GitHub Actions, or similar tools) • Data modeling for analytics (fact tables, dimensions, metric layers) • Marketing and product analytics infrastructure • Revenue and performance analytics systems • Data validation, testing, and reconciliation workflows Tools & Technologies Data Warehousing & Modeling BigQuery dbt (modeling, testing, documentation) SQL (advanced: joins, CTEs, window functions) Orchestration & Workflow Apache Airflow (learning / applied) GitHub Actions (pipeline automation) Analytics & BI Power BI Looker Studio Data Processing & Analysis Python (pandas, matplotlib, seaborn) Excel / Google Sheets Data Sources GA4 (event-level data) CRM systems Marketing platforms SQL databases Google Cloud Platform Portfolio Projects Modern Data Stack Project (dbt + BigQuery) Built a structured analytics pipeline using dbt to transform raw data into staging and mart layers, enabling scalable reporting and consistent metric definitions Marketing Data Pipeline & Performance Analysis Integrated GA4 and campaign data into a unified dataset for evaluating conversion, attribution, and ROI Customer Cohort & Retention Modeling Developed cohort-based models to track lifecycle behavior and identify high-value segments Operational KPI Tracking System Designed a centralized reporting system to monitor performance and support leadership decision-making Why Clients Work With Me • I build systems, not just reports • Strong focus on data accuracy, validation, and testing • Ability to structure messy, real-world data into usable models • Experience working with modern data stack tools (dbt, warehouses, pipelines) • Clear communication across technical and business teams • Solutions designed to scale as your data grows My Approach 1️⃣ Understand the business problem and data landscape 2️⃣ Structure and clean raw data sources 3️⃣ Build transformation layers (dbt / SQL models) 4️⃣ Define metrics and validate data accuracy 5️⃣ Deliver reporting systems and insights that support decisions If you're looking for someone who can not only analyze your data but also build the systems that make your data reliable, scalable, and easy to use, feel free to reach out. Tell me about your data stack and what you're trying to achieve

I help companies transform fragmented business data into scalable Power BI reporting systems — and I use context engineering and prompt engineering to automate the parts of that process that used to take the longest: exploring messy source data, drafting DAX measures, documenting semantic models, and keeping reports consistent as the business changes. I don't just build dashboards — I've built a documented context system that captures my entire Power BI methodology: data sourcing standards, DAX measure logic, table relationships, visualization design rules, and testing/evaluation protocols. That system lets me direct AI through a full report build — from raw data to finished visualization — with built-in checks at every stage, not just a final look-over. 𝐖𝐡𝐚𝐭 𝐈 𝐒𝐨𝐥𝐯𝐞 Faster decision-making Transform fragmented data from ERPs, CRMs, warehouses, and other systems into clear, actionable insights leadership can trust and act on. Scalable analytics architecture Design robust, scalable data models and reporting systems that grow with your business, handling increasing complexity without slowing down or requiring constant rework. AI-assisted BI development Use context engineering and prompt engineering to accelerate DAX development, automate documentation of semantic models, and speed up data exploration — so you get a production-ready report faster, built on the same rigorous data modeling as everything else I deliver. One unified source of truth Create a consistent semantic layer with validated KPIs, ensuring every department works from the same accurate metrics. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 Full BI lifecycle ownership Power BI · DAX · Data Modeling · SQL · ETL · Data Visualization · Dashboard Development · Context & Prompt Engineering for BI Automation Microsoft Certified: Power BI Data Analyst Associate (PL-300) 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 7+ years of experience delivering BI solutions across FMCG & Distribution · Logistics · Pharmaceuticals · eCommerce · Manufacturing · Multi-channel Marketing If you're looking for a Power BI expert who builds systems that scale with your business — and gets there faster using modern AI-assisted development, not just dashboards — I'm a strong fit.

𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗦𝗲𝗻𝗶𝗼𝗿 .𝗡𝗘𝗧 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗶𝗻 𝗦𝗮𝗮𝗦 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗗𝗲𝘃𝗢𝗽𝘀 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗰𝗹𝗼𝘂𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀. 𝗪𝗶𝘁𝗵 8 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, I design and build secure, high-performance web platforms using .NET, ASP.NET Core, Azure, SQL Server, Terraform, and modern JavaScript frameworks helping businesses launch reliable digital products faster and operate them with confidence. 🚀 Backend Expertise ✅ .NET Framework, ASP.NET Core, C# ✅ Scalable REST API Development & Backend Integration ✅ Microservices & Distributed Systems ✅ Secure Authentication & Authorization with JWT, OAuth ✅ Role-Based Access Control & Identity Management ✅ Clean Architecture & Domain-Driven Design 🚀 Frontend Expertise ✅ .NET MAUI, Avalonia UI, Blazor, Razor Pages ✅ Vanilla JavaScript Expert ✅ ReactJS, NextJS, AngularJS ✅ Legacy jQuery Modernization ✅ Theme Integration & Responsive UI 🚀 Database Expertise ✅ Database Architecture & Schema Design ✅ SQL Server Performance Tuning ✅ MSSQL, MySQL, PostgreSQL ✅ Azure SQL, MongoDB, ElasticSearch ✅ Query Optimization & Data Modeling 🌐 Domain Expertise ✅ Healthcare Application Development ✅ SEO Platforms & Marketing Tools ✅ Cybersecurity Software Solutions ✅ E-Commerce Platforms ✅ SaaS Products ☁️ Cloud & DevOps Expertise ✅ Microsoft Azure, AWS, Google Cloud Infrastructure ✅ Infrastructure as Code (IaC) with Terraform ✅ Docker, Kubernetes & Container Orchestration ✅ CI/CD Pipelines with Azure DevOps, GitHub Actions, GitLab CI ✅ Automated Build, Test & Release Pipelines ✅ Cloud Deployment Automation & Environment Provisioning ✅ Monitoring, Logging & Reliability Engineering (Application Insights, Prometheus, Grafana) ✅ Application Performance Optimization ⚙️ Automation Expertise ✅ Infrastructure Automation with Terraform & ARM Templates ✅ Deployment Automation with PowerShell & Bash Scripting ✅ Configuration Management & Secrets Handling (Azure Key Vault, AWS Secrets Manager) ✅ Automated Testing Pipelines (Unit, Integration, E2E) ✅ Workflow Automation & Background Job Processing ✅ Scheduled Tasks, Webhooks & Event-Driven Architectures 💼 Services I Provide ✅ Custom SaaS Product Development from MVP to Production Release ✅ Enterprise Web Application Development with Secure, Scalable Architecture ✅ REST API Development, Third-Party Integrations & Backend Modernization ✅ Modern Frontend Interfaces with Clean UX and Responsive Design ✅ Cloud Hosting, Infrastructure as Code & Deployment Automation ✅ DevOps Setup, CI/CD Pipeline Engineering & Release Management ✅ Ongoing Product Maintenance, Feature Expansion & Technical Support 🌟 Why Clients Choose Me ✅ Years of Real-World Software Development & DevOps Experience ✅ Strong Technical Depth with Business-Focused Solution Design ✅ Clean, Maintainable & Future-Proof Code Architecture ✅ Clear Communication, Fast Response & Reliable Collaboration ✅ Consistent On-Time Delivery with High Quality Standards ✅ Long-Term Technical Partnership for Product Growth & Stability From solution design and development to cloud deployment, automation, and long-term maintenance I take full responsibility for delivering scalable, production-ready software solutions. Senior .NET Developer Upwork Full-Stack .NET Developer Upwork ASP.NET Core Developer Upwork ASP.NET MVC Developer Upwork C# Developer Upwork .NET Core Developer Upwork .NET Backend Developer Upwork .NET API Developer Upwork REST API Developer Upwork Microservices Developer Upwork Enterprise Application Developer Upwork SaaS Application Developer Upwork Cloud Application Developer Upwork Azure .NET Developer Upwork SQL Server Developer Upwork Database Architecture Specialist Upwork Performance Optimization Specialist Upwork DevOps Engineer Upwork Terraform Specialist Upwork CI/CD Pipeline Engineer Upwork Cloud Automation Specialist Upwork Software Maintenance & Support Upwork Application Migration & Upgrade Services Upwork Third-Party Integration Specialist Upwork Skill Keywords ASP.NET Core, .NET Framework, C#, .NET Core, MVC, Web API, Entity Framework Core, SQL Server, Azure SQL, Microservices, RESTful APIs, SignalR, Blazor, Azure, AWS, Google Cloud, Docker, Kubernetes, Terraform, CI/CD Pipelines, Azure DevOps, GitHub Actions, Infrastructure as Code, Agile Development, Responsive Web Design, Frontend Development, Backend Development, Database Management, Scalable Architecture, Cloud Deployment, Automation Scripting Integration Keywords Amazon SP API Integration, Burp Suite Integration, Stripe Payment Gateway Integration, Third-Party API Integration, Webhook Integration, OAuth Integration

Organizations often struggle to trust their data not because of missing technology, but due to fragmented sources, inconsistent pipelines, and unreliable outputs. I’m Neeraj Negi, a Top Rated Data Engineer with a 99% Job Success Score on Upwork, helping teams build stable, scalable data foundations. I design and build reliable, scalable data pipelines and analytics platforms that convert raw, fragmented data into governed, analytics-ready datasets used for reporting, forecasting, and informed decision-making. With 5+ years of hands-on experience, I have worked on production data systems across insurance, e-commerce, and event-driven environments. My work typically involves owning the full data lifecycle from ingestion and transformation to optimization, quality, and analytics consumption while collaborating closely with business stakeholders to ensure data supports real business decisions. My approach is pragmatic and long-term: build data systems that are stable, maintainable, and trusted by the business. ✅ Why Clients Choose Me: 1. Maintain a 99% Job Success Score with consistent long-term client engagements 2. Deliver production-ready ETL/ELT pipelines that reliably move data from source systems to analytics-ready layers 3. Implement scalable cloud-based data architectures with a strong focus on performance and cost efficiency 4. Translate business and reporting requirements into clean, well-modeled analytical datasets 5. Modernize legacy and on-premise data workflows into cloud-native solutions 6. Deliver clean, well-documented data models designed for long-term ownership ✅ Core Expertise / Tech Stacks : 1. Data Modeling & Analytics Engineering: Dimensional modeling (Star & Snowflake schemas), analytics-ready data products, DBT Core & DBT Cloud, advanced SQL 2. Data Integration & Orchestration: ETL / ELT pipelines (batch & incremental), Apache Airflow 3. Cloud Data Platforms: Azure (ADF, Synapse), GCP (BigQuery) 4. Programming & Scripting: Python, Bash 5. Big Data & Distributed Processing: Apache Spark (PySpark, Spark SQL), Delta Lake, Kafka, Databricks 6. Data Quality, Governance & DevOps: Data quality frameworks, schema management, monitoring, CI/CD (Git-based workflows) 7. Analytics & Delivery: Power BI data modeling, Agile, Scrum, DataOps ✅Project Experience: 1. Insurance Data Engineering & Analytics : Worked on modernizing insurance data pipelines involving policy, claims, broker, and third-party data sources. Designed and maintained analytics-ready data models using SSIS, Python, and advanced SQL, standardizing fragmented datasets into governed reporting layers stored in Azure SQL. Built automated ETL workflows and implemented incremental processing and SQL performance optimization to ensure data accuracy and scalability. Data pipelines were scheduled and executed using Azure Container Jobs, while curated datasets powered Power BI dashboards for operational and management-level reporting. This approach significantly improved data reliability, reduced manual reconciliation, and ensured consistent metrics across reports. 2. E-Track – Event Management Analytics: E-Track was a data analytics solution built to support event planning and performance analysis. I designed DBT- and SQL-based transformation models to convert raw event registration, attendance, and feedback data into structured reporting layers. Using DBT transformations, I created key metrics such as monthly event volume, event category performance, and seasonal demand trends. The resulting datasets powered Metabase dashboards that enabled business teams to forecast demand, analyze trends, and optimize resource allocation. My work emphasized modular DBT modeling, incremental loads, and optimized SQL queries to ensure fast and reliable dashboard refreshes. 3. Rooster – E-Commerce Marketing & Sales Analytics: For an e-commerce client, I developed data transformation and modeling pipelines using DBT to consolidate marketing and sales data from platforms including Google Ads and Facebook Ads. I built clean, unified datasets to support Power BI reporting on KPIs such as conversion rate, monthly sales by product category, and return order ratios. In addition, I implemented DBT models for deeper sales performance analysis, covering product-level trends and customer segmentation. 📌 If you’re looking to build a dependable data foundation, modernize existing pipelines, or scale your analytics capabilities, I’d be happy to discuss your requirements. ✅I’m available to start immediately. Click “Invite to Job” or send a message to begin the conversation.

Senior .NET Developer with 10+ years of experience building enterprise software, cloud-based systems, and high-performance backend solutions using C#, .NET Core, Azure, React, Angular, and SQL Server. I help startups, SaaS companies, and enterprises build secure, maintainable systems designed for long-term growth - whether that's a new application, modernizing a legacy system, backend API development, Azure cloud deployment, or full-stack work with React or Angular. I also use AI-assisted workflows with Cursor and Claude to speed up development, accelerate debugging, and reduce repetitive work without sacrificing code quality. WHAT I SPECIALIZE IN Backend API development (REST and GraphQL) Full-stack development with React and Angular Cloud-native applications on Azure Modernization of legacy applications Multi-tenant SaaS architecture Microservices and event-driven architecture Entity Framework Core and SQL Server database design Third-party API integrations Authentication, authorization, and Azure AD integration CI/CD pipelines and performance optimization CORE TECHNOLOGIES Backend: C#, .NET Core (.NET 6/7/8), ASP.NET Core, Web API, Entity Framework Core, LINQ, Dapper Frontend: React, Angular, JavaScript, TypeScript, Blazor Database: SQL Server, PostgreSQL, MySQL, MongoDB Cloud & DevOps: Azure App Services, Azure Functions, Azure DevOps, Docker, Kubernetes, AWS Architecture: Clean Architecture, Domain-Driven Design, CQRS, SOLID Principles, Microservices Security: JWT, OAuth2, Azure AD, Role-Based Access Control AI Tools: Cursor, Claude WHAT YOU GET Clean, well-documented, maintainable code Scalable backend architecture built for growth Secure authentication and authorization by default Enterprise-grade engineering standards Faster delivery through AI-assisted workflows, without cutting corners PROJECT EXPERIENCE -Property Management SaaS Platform - multi-tenant architecture with role-based dashboards, reporting systems, and tenant management, built with .NET Core, React, Angular, Azure, and SQL Server -Employee PDP Management System - planning modules, approval workflows, reporting, and secure access management -School Management Platform - full .NET Core application with authentication, teacher/student portals, scheduling, and admin dashboards, built on MySQL with Clean Architecture -Enterprise Internal Systems - integrated with Azure AD, SharePoint, HR platforms, insurance systems, and third-party APIs -API Integrations - Stripe, PayPal, CRMs, and enterprise APIs with secure authentication INDUSTRIES I'VE WORKED WITH SaaS & Product Development, Property Management & Real Estate, HR & Workforce Management, Education Technology, Insurance Software, Enterprise Internal Systems, Business Automation If you need a Senior .NET Developer who understands both business requirements and technical architecture, send me your project details - I'll help you define the right approach and build it right the first time.

I help startups and businesses build scalable, secure, and high-performance .NET applications that are designed to grow long-term. I’m a Senior .NET Architect with 15+ years of experience, and I’ve worked as a Full-Stack Developer, Technical Lead, Project Manager, and CTO-level consultant, delivering mission-critical systems for startups, SaaS companies, and enterprises across the US, Europe, and Australia. I specialize in designing and developing enterprise-grade applications using .NET Core, ASP.NET MVC, Web API, C#, SQL Server, Azure, and modern frontend technologies. I don’t just write code — I help architect systems, solve performance bottlenecks, and ensure your platform is reliable, scalable, and future-ready. ⚡ How AI Accelerates Your Project By combining AI with proven engineering practices, I help you: ✔ Launch features 2–5x faster ✔ Rapidly prototype and validate ideas ✔ Improve code quality, readability & test coverage ✔ Detect bugs, edge cases & performance bottlenecks early ✔ Reduce overall development cost & time-to-market 🧠 Why You Still Need a Senior Engineer (This Is Where I Stand Out) AI is powerful — but without experience, it can create fragile systems. With 15+ years of real-world development experience, I ensure: ✔ Clean, scalable, and production-ready architecture ✔ AI-generated code is reviewed, optimized & corrected ✔ Complex problems solved (concurrency, performance, security) ✔ Long-term maintainability (not just quick fixes) ✔ Business-focused solutions — not just code 👉 Result: AI speed + Senior-level reliability 🤖 AI Models & Advanced Tooling I leverage cutting-edge AI to accelerate development while maintaining top-tier quality: • Claude Opus 4.5 & OpenAI Codex 5.2 • Advanced prompt engineering & multi-model workflows • AI-assisted coding, refactoring, debugging & automated testing • Smart code generation with human validation 📩 Let’s Build Something Great If you're looking for fast execution without compromising quality, let's connect. 👉 Send me a message — I’ll review your requirement and suggest the best approach.

I help businesses clean up messy data flows, automate manual reporting, and build reliable data systems. My background is in data engineering, SQL/database development, ETL/ELT pipelines, integrations, and BI reporting. I’ve worked across SQL Server, PostgreSQL, MySQL, Python, AWS, BigQuery, Fivetran, Zoho, AppSheet, Metabase, Looker Studio, Google Sheets, and custom APIs. Most of my projects involve one or more of these: ➤ Building data pipelines between databases, APIs, cloud storage, and BI tools ➤ Designing reporting models, SQL views, stored procedures, and dashboards ➤ Optimizing slow SQL queries and database processes ➤ Automating manual workflows with Python, Apps Script, SQL, or cloud services ➤ Connecting systems like Zoho, AppSheet, Google Sheets, BigCommerce, Shopify, and custom platforms ➤ Creating BI dashboards in Metabase, Looker Studio, Zoho Analytics, Tableau, and similar tools I’m usually most helpful when the project needs both technical execution and practical thinking: understanding the business process, deciding what data matters, structuring it properly, and building something the team can actually use. I like complex data problems, but I care just as much about making the final system clear, reliable, and easy to maintain.

Excel Master & Certified Data Analyst | Python, Pandas, SQL, Excel VBA, Power BI As businesses scale, complex data and manual reporting become major bottlenecks. I am a Certified Data Analyst and Data Automation Expert with 10+ years of corporate experience. I specialize in bridging the gap between business strategy and advanced data engineering to deliver end-to-end automation. I help organizations upgrade from slow, manual spreadsheets to robust, automated data pipelines. Whether you need to extract and clean messy datasets with Python and Pandas, build interactive data visualizations in Power BI, or optimize legacy Excel VBA macros, I engineer custom solutions that save hundreds of hours and drive data-driven decision-making. CORE COMPETENCIES & TECH STACK ⚙️ Data Automation & Engineering: Python, Pandas, ETL Pipelines, Data Cleaning & Wrangling ⚙️ DevOps/DataOps: GitHub, CI/CD, Docker, Kubernetes, Snowflake, Data Quality, IaC ⚙️ Business Intelligence & Analytics: Power BI, Tableau, SQL, Data Visualization, Dashboards ⚙️ Advanced Spreadsheet Solutions: Excel VBA (Macros), Google Sheets & Apps Script CREDENTIALS 🏆 Top-Rated Freelancer: Ranked in the Top 1% for Data Analytics & Spreadsheet Automation. 🏆 Proven Track Record: 100+ successfully completed projects with a flawless 5.0 Rating. 🏆 Business Expertise: Master of Business Administration & 10+ Years of Corporate Experience. 🏆 Global Certifications: Accredited Data Analyst by IBM & Google (Python, R). PROFESSIONAL SERVICES OFFERED ✅ Automated Data Pipelines: Writing highly efficient Python (Pandas) scripts for data extraction, transformation, and loading (ETL) from external APIs, databases, web sources, and CSVs. ✅ Interactive BI Dashboards: Designing dynamic, real-time Power BI and Excel dashboards that translate raw data into clear, actionable business intelligence. ✅ Legacy System Optimization: Debugging, modernizing, and upgrading heavy Excel VBA macros and Google Sheets workflows into lightning-fast, automated processes. ✅ Strategic Data Consulting: Leveraging my MBA background to ensure data integrity, streamline operations, and align automated workflows with your core business objectives. 💡 Why me? Most programmers do not understand corporate business strategy, and most business analysts cannot write complex, production-ready code. I bring both skill sets to the table. I do not just write scripts; I architect tailored, scalable data systems that solve real business problems and reduce operational overhead. Don’t let data challenges hold you back. With my expertise, we’ll unlock the full potential of your data and propel your business forward. 📞 Reach out now, and let’s start creating impactful solutions with the power of data!

I’m an AI Systems & Data Engineer with an M.S. in Data Science from Johns Hopkins. I build production AI and data infrastructure: RAG pipelines, agent workflows, ETL systems, vector databases, analytics dashboards, and cloud data platforms that turn messy operational data into reliable software. My work sits at the intersection of AI, data engineering, data analytics, and applied data science. I can help design the pipeline, clean and model the data, build the dashboard, explain the business story, and connect the system to AI tools like RAG, semantic search, LLM workflows, Pinecone, OpenAI, Claude, Postgres, Snowflake, AWS, or Azure. In practice, that means I work across the full path from raw data to insight to production application. Recent work: • Architected a Postgres ↔ Pinecone sync layer for a 3.6M-document legal research corpus, keeping vector metadata coherent with the transactional store through a revertible, checkpoint-resumable migration protocol. • Canonicalized ~4,000 messy document-type strings into 47 UI-facing categories against a live 57K-docket production database with zero downtime. • Built a custom NLP summarization model for 10-Q filings at the Federal Reserve Bank, extracting quantitative insights for analyst review. Stack: Python, SQL, PostgreSQL, Snowflake, Azure SQL, AWS, Azure Data Factory, Microsoft Fabric, Power BI, dbt, Airflow, Docker, Git, LangChain, OpenAI API, Anthropic API, Pinecone, pgvector, VoyageAI, RAG pipelines, ETL/ELT pipelines. Background: MS Data Science (Johns Hopkins, 3.8 GPA), formerly Hedge Fund Credit Analyst at JPMorgan Chase.

I am a seasoned professional 🌟 with over 20 years of extensive experience in software development 💻, team leadership 🚀, app modernization 📲, cloud technologies ☁️, and project management 📊. My expertise spans a wide range of technologies, including C# ⌨️, .NET 🌐, SQL Server 📊, API 📡, MVC 🖥️, DevOps 🛠️, ASP.net 🌐, Entity Framework 📦, WCF 🌐, Web Services 🌐, jQuery 📜, JavaScript 🖋️, RDLC 📊, and Ajax 🔄. I am highly proficient and experienced in working on cloud platforms, especially in Azure ☁️ (Azure Function/Durable, Data Factory, Logic APP, Service Bus, Event Hub, Event Grid, Azure Kubernetes Service). I also have extensive experience with serverless and microservices-based architecture 🏗️. Throughout My career, I have successfully worked with various tools and technologies, including Java ☕, Oracle 🗃️, Lua 🌐, ERP systems 📈, Progress Language and Database 📊, EDI 📤, DNN 🌐, and Control-M 📋. I have also tackled legacy technologies like FoxPro 🦊, MS Access 📇, and Visual Basics 📝. I am also known for being results-oriented and responsible, consistently achieving goals 🎯 with the support of his effective technical, organizational, and communication skills 🗣️📊. I remains up-to-date with the latest technologies and industry trends 📈, ensuring that he can consistently deliver efficient and productive solutions to projects 🚀. I actively seeks opportunities for professional development 📚 and is committed to staying at the forefront by pursuing ongoing education and certifications 🎓. Professional Certifications: ========================  Project Management Professional (PMP)  Microsoft Certified Azure Fundamental  Microsoft Certified Azure AI Fundamental  IBM Certified Developer in XML & Related Technologies  IBM Certified E. Commerce Professional.  Preparing for Designing and Implementing Azure AI Solution  Preparing for Azure Developer Associate certification  Sun Certified Java Programmer.  Microsoft Certified Professional for server & workstation