With 10+ years across the full data stack; ETL, SQL Server, Snowflake, Azure, AWS, PySpark, Airflow, dbt, Advance SQL and Power BI. I help businesses turn messy, unreliable data into clean, automated pipelines that actually work in production. Data Engineering: • PySpark pipelines for large-scale transformation and Snowflake loading • Apache Airflow DAGs for orchestrating and monitoring complex workflows • SQL Server to Snowflake migrations — full schema, stored procedures, validation • Cloud pipelines: API extraction, Azure Blob staging, Snowflake loading, fully automated • dbt for clean, tested, version-controlled data transformations • Event-driven pipelines on AWS Lambda with OAuth 2.0 authentication • Legacy DTS / SSIS upgrades and modernisation Analytics Engineering: • dbt semantic models and data marts for analytics-ready layers • Snowflake query and compute cost optimisation • Power BI data modelling, measures, and business dashboards • SSRS reporting for enterprise environments I've worked independently in large enterprise environments , no hand-holding needed. I understand business requirements, ask the right questions, and deliver production-ready solutions. If you need someone who takes full ownership and gets it done right the first time, let's talk.

📊📈 Unlock the full potential of your data with clean pipelines, smart automation, and dynamic reporting systems. I build end-to-end analytics solutions - from setting up databases and API integrations to transforming, analyzing, and visualizing your data using the most effective tools for the job. Whether it’s organizing scattered sources or automating complex reports, I make sure your data is accessible, reliable, and ready to drive confident decisions. 🔧 Tools & Technologies 🔴 Data Visualization & Analytics: Power BI, Tableau, Looker & LookML, Looker Studio 🔴 ETL & Automation: dbt, Power Query, Supermetrics, Airbyte, AWS Lambda, AI-assisted workflows 🔴 Cloud, Databases & Warehousing: PostgreSQL, Snowflake, AWS RDS, AWS Redshift, Supabase 🔴 Platforms: Shopify (Advanced Reporting), Google Analytics 🧠 What I Deliver 🟠 End-to-End Reporting Systems 🟠 Interactive Dashboards & KPI Reporting 🟠 E-Commerce & Marketing Analytics 🟠 Automated Data Pipelines 🟠 Custom Metrics & Performance Tracking 🟠 SQL Modeling & API Integrations 🟠 Clean, Scalable, Structured, and Reliable Data Infrastructure I can turn your data into a system that works - clean, scalable, and built for insights. Have something in mind? Reach out and let’s talk about how we can move it forward.

I help businesses build scalable analytics systems, automate reporting workflows, and turn raw data into actionable business insights using modern data stack technologies and AI-powered analytics. Over the last 4+ years, I’ve worked with startups, agencies, and enterprise clients across Upwork and Fiverr, delivering high-impact analytics solutions in marketing, sales, operations, and business intelligence. My expertise combines analytics engineering, BI development, and AI integrations to help companies move beyond static dashboards into intelligent data systems. What I can help you with: • Analytics Engineering (dbt, Snowflake, SQL) • Power BI & Tableau Dashboards • AI-Powered Reporting & Insight Generation • ETL / ELT Data Pipelines • Marketing Analytics & Attribution Reporting • Python Automation & Data Processing • Natural Language to SQL Systems • KPI Monitoring & Executive Reporting • AI Analytics Automation using LLM APIs • Data Modeling & Warehouse Optimization Tech Stack: Snowflake, dbt, Power BI, Tableau, SQL, Python, FastAPI, OpenAI API, LangChain, Streamlit, Excel, Alteryx I focus on building scalable, maintainable, and business-focused analytics systems that help teams make faster and smarter decisions. If you're looking for someone who understands both the technical and business side of analytics, let’s connect.

Messy data slowing your team down? I build scalable ETL/ELT pipelines and modern cloud architectures on Azure, Databricks, Fabric, and Snowflake that turn raw, chaotic data into clean, analytics-ready systems fast and reliably. I bridge the gap between fragmented data sources and production-grade dashboards, seamlessly adapting to your existing infrastructure rather than forcing an expensive rebuild. What I Can Help You With: Data Warehouse & Lakehouse Architecture: Implementing Medallion design patterns (Bronze → Silver → Gold) using Delta Lake, Microsoft Fabric OneLake, and Snowflake. Scalable ETL/ELT Ingestion: Building automated, metadata-driven pipelines via Azure Data Factory, Fabric Pipelines, Databricks (PySpark/SQL), and dbt. Real-Time Data Streaming: Architecting low-latency workflows using Apache Kafka, Azure Event Hubs, and streaming engines. Database Design & Optimization: Performance tuning, indexing, and data modeling for PostgreSQL, Azure SQL, and cloud warehouses. Proven Project Highlights: Microsoft Fabric Incremental Pipeline: Built a control-table pattern using Get Metadata, Lookup, and ForEach loops to orchestrate zero-duplicate, quarterly ingestion from SharePoint into OneLake via Dataflow Gen2. Azure/Databricks Streaming: Developed a restaurant analytics platform processing 80,000+ events/day, cutting reporting lag from 6 hours to under 3 minutes. Kafka/Snowflake Pipeline: Engineered a real-time stock market data pipeline tracking 120+ tickers with under 8 seconds end-to-end latency. I write clean, documented code your team can maintain long-term and provide transparent daily updates. Message me with your data challenge and I’ll walk you through exactly how to solve it.

👋 Data Analytics & Data Engineering | ETL • Power BI • SQL • Python • Data Governance Businesses don't struggle because they lack data. They struggle because their data is scattered across systems, manually reported, difficult to trust, or too complex to turn into meaningful decisions. 🚀 I help organizations build reliable data pipelines, automate reporting, create executive dashboards, and establish data governance practices that turn raw data into trusted business insights. Over the past 3+ years, I've worked across supply chain compliance, healthcare, real estate, marketing, finance, and technology, helping organizations improve data quality, streamline reporting, and build scalable analytics solutions that support better business decisions. 💡 How I Can Help 📊 Dashboards & Business Intelligence Design executive, operational, financial, and KPI dashboards. Build interactive reports using Power BI, Tableau, and Looker Studio. Improve dashboard performance, usability, and reporting consistency. ⚡ Data Pipelines & ETL/ELT Build automated data pipelines from APIs, databases, spreadsheets, and cloud platforms. Clean, transform, and prepare datasets for analytics and reporting. Optimize existing ETL workflows for reliability, scalability, and performance. 🐍 SQL, Python & Data Modeling Develop SQL and Python workflows for automation, transformation, and analysis. Build analytics-ready data models using dbt and dimensional modeling. Standardize KPI definitions to create a single source of truth across reporting. 🛡️ Data Quality & Governance Implement data validation, reconciliation, and quality monitoring. Develop data dictionaries, business glossaries, and technical documentation. Support metadata management, data lineage, classification, and governance initiatives using platforms such as Reltio, Collate, and Snowflake Horizon. ⭐ Recent Results ✔ Reduced executive reporting time by 40% through reporting automation. ✔ Improved ETL pipeline performance by 25% by redesigning and optimizing data workflows. ✔ Built Power BI dashboards that improved visibility into operational and financial performance. ✔ Developed healthcare and financial analytics solutions that transformed complex datasets into actionable insights. ✔ Designed scalable cloud-based data pipelines using BigQuery, Airflow, dbt, and Python for analytics and reporting. ✔ Contributed to the development of enterprise data governance standards and policies, and helped lead the successful Proof of Concept (POC) and implementation of Collate as the organization's data governance platform, improving metadata management, data discovery, and governance capabilities. 🛠 Technical Toolkit Data Engineering: SQL • Python • Apache Airflow • dbt • ETL/ELT • BigQuery • Snowflake • PostgreSQL Business Intelligence: Power BI • Looker Studio • Tableau • Excel Cloud: AWS • GCP Data Management: Data Modeling • Data Governance • Reltio • Collate • Snowflake Horizon ✅ Best-Fit Projects Power BI, Tableau, and Looker Studio dashboards ETL/ELT pipeline development and automation SQL optimization and reporting automation Python data extraction, transformation, and API integrations dbt modeling and data warehouse development Data quality assessments and reconciliation Data governance, metadata, lineage, and documentation 🤝 I enjoy working with teams that want more than reports—they want reliable data they can confidently use to make decisions. 📬 If you're looking for someone to build scalable data pipelines, automate reporting, improve data quality, or strengthen your analytics and governance practices, I'd be happy to discuss your project and help identify the best approach.

I build marketing analytics and attribution systems that show exactly which campaigns, channels, and product behaviors drive revenue, so growth teams can scale what works and cut what doesn’t. With 5+ years as a Data Engineer and Analytics Consultant, I partner with marketing, product, RevOps, and executive teams to stitch together ad platforms, analytics tools, CRMs, and product event data into one consistent reporting layer across the full funnel from acquisition to retention. Focus areas Marketing & Attribution Analytics • Tools: GA4, Meta, Google Ads, TikTok, pixels, Meta Conversions API, Google Tag Manager, server-side tracking, BigQuery, Power BI, Looker • Techniques: UTM governance, click-ID stitching, session-to-order joins, multi-touch and last-touch attribution, campaign and creative analysis, custom funnel tracking • Outcome: Clear views of channel contribution, campaign efficiency, and customer acquisition performance Funnel, Pipeline & Conversion Analytics • Tools: GA4, CRM systems (HubSpot, GoHighLevel, PipeDrive, etc.), SQL, dbt, cloud warehouses, BI dashboards • Techniques: Funnel modeling from first touch to revenue, lead-to-opportunity tracking, conversion rate decomposition, cohort-based funnel analysis • Outcome: Visibility into where prospects drop off, what converts, and which segments drive the highest-value revenue Product & Growth Analytics • Tools: Mixpanel, Amplitude, GA4, product event tracking, SQL, dbt, cloud warehouses, BI tools, Segment, RudderStack • Techniques: Activation metrics, retention and cohort analysis, feature usage tracking, lifecycle segmentation, product-to-revenue linkage • Outcome: Clear understanding of how product behavior impacts conversion, expansion, and long-term customer value RevOps & Go-To-Market Performance • Tools: HubSpot, Salesforce, Stripe, SQL, dbt, cloud warehouses, Excel • Techniques: Pipeline modeling, revenue timing logic, forecast vs actuals, customer segmentation by channel and product • Outcome: Unified views of pipeline health, bookings, revenue, churn, and growth efficiency across the go-to-market engine Data Modeling & Metric Layer • Tools: SQL, dbt, star schemas, semantic layers, Excel for validation • Techniques: Dimensional modeling, KPI definitions, metric governance, reconciliation across marketing, product, and revenue data • Outcome: Consistent metrics such as CAC, LTV, payback, activation, retention, and growth efficiency across all dashboards Dashboards & Automation • Tools: Power BI, Tableau, Looker, Python, Airflow, cloud warehouses (AWS, Azure, GCP) • Techniques: Automated pipelines, incremental models, QA checks, self-serve dashboard design for growth teams • Outcome: Decision-ready marketing, funnel, and executive dashboards that replace manual reporting Engagements range from ongoing growth analytics support to attribution builds, funnel and product analytics projects, and full reporting audits, all focused on giving teams a single, trusted view of how marketing and product actually drive revenue.

I build production-grade ML systems and agentic automation infrastructure that transform raw data into real-time decisions, workflows, and execution systems. My work sits at the intersection of: * Machine learning systems (forecasting, prediction, optimization) * Agentic workflows (multi-step automation, decision agents) * Real-time data infrastructure (APIs, pipelines, monitoring systems) The outcome is simple: systems that don’t just analyze data — they act on it. What I Build 1. ML Forecasting & Predictive Systems Production-ready time-series and predictive pipelines: * Demand, revenue, and behavioral forecasting systems * Prophet and deep learning-based models * Automated retraining and versioned inference APIs * Real-time scoring for live production environments 2. Optimization & Decision Engines Turning constraints into executable systems: * MILP-based optimization (routing, allocation, scheduling) * Policy simulation and scenario modeling * Resource allocation and tiering engines * Decision automation tied to live data streams 3. Agentic Automation Systems (LLM + Workflow Agents) Autonomous multi-step systems that execute workflows: * Multi-agent orchestration pipelines * Workflow automation and decision simulation systems * Signal extraction → reasoning → action pipelines * Event-driven agents for monitoring and execution 4. Real-Time Data Infrastructure Production-grade data systems for high velocity environments: * FastAPI-based inference and orchestration layers * Event-driven pipelines (APIs, SFTP, streaming sources) * Time-series databases (TimescaleDB, etc.) * Monitoring, logging, and failure recovery systems 5. Financial & Risk Systems Applied ML for high-stakes decision environments: * Credit risk scoring and financial analytics pipelines * Trading signal generation and backtesting systems * P&L simulation and scenario modeling * Structured decision support systems Selected Production Work Real-Time Telecom Forecasting System Built a forecasting and matching engine processing 30,000+ users with 15-minute refresh cycles on Azure, replacing manual allocation logic with a production ML + API system. Multi-Agent Intelligence System (PulseAgent) Designed a multi-agent workflow system that orchestrates reasoning and execution across data sources for automated decision-making. Decision Intelligence Engine (Deal Intelligence Agent) Built a signal extraction and ranking system that converts raw data into actionable business intelligence using ML + agent workflows. Automated QA & Monitoring System Developed a production monitoring system for validating pipelines, detecting failures, and ensuring system reliability in real time. Credit & Financial Risk Automation System Engineered a financial analytics engine for credit evaluation, ratio modeling, and automated risk scoring How I Work I design systems with production reality in mind: * Every model is deployed behind an API or workflow engine * Every system includes observability and failure handling * Every output is traceable, testable, and reproducible * Every pipeline is built for real operational use, not demos If it doesn’t run reliably in production, it doesn’t ship. Who I Work With * Startups building AI-driven products * Fintech and analytics teams * Companies automating decision workflows * Teams moving from manual analysis → autonomous systems Let’s Work Together If you need systems for: * Forecasting and prediction at scale * Optimization and decision automation * Agentic workflows or AI-driven systems * Real-time ML infrastructure in production I can design and deploy the full system end-to-end.

Extensive experience (16 years) in Oracle, MySQL, SQL Server, Postgres, Snowflake and Azure Data Lake methodically identifying and resolving complex underlying causes of problems, using a vast variety of techniques and tools. I have solved numerous show-stopping Performance problems, as well as often re-engineered immensely complex designs and code, providing significantly improved performance. Have designed data warehouse and implemented ETL pipeline strategies on AWS and Azure. Extensive experience as a Data Engineer with multiple work experience in data extraction, data transformation, data load, data protection, data cleansing, data migration, data mergers etc. Expert level ability with Data Architecture, Data Modelling and Data Analysis. I can conceptualize, design and develop long-term, automated, integrated solutions with a focus on increasing your competitive advantage. Have also held roles where I had to work with business end users to provide Solution Architecture and drive the solution from discussing with the users to delivering the final solution product to the end users. Have around 6 years of experience in Python (ETL and Data Analytics), 4 years in Tableau, 2.5 years in DBT and 2 years in Matillion (ETL). Domain expertise: Freights and Logistics (Quotation, Pricing, Booking, Reservation, Inventory management, Operations, Control products for Accenture Freights and Logistics Solutions) - 7 years Finance - Capital Market (Backend book-keeping for different instruments for BNP Paribas) - 3. years Digital Marketing (Generic product for Call Center and Website for a Digital Marketing company called Candid Maven) - 2 years Merchant Data Platform (Creating the automated framework from scratch to bring in data that was managed in Smartsheet to the centralized database using Python and PL/SQL to serve the analytic needs - for a company called Woflow that holds 96% of the market in this domain) - 6 months Pharmaceutical (Data Lake and Data Warehouse setup for Precision for Medicine - integrated systems like CRM (Saalesforce), ERP (Infor CloudSuite, PSA), HR (Greenhouse, ADP, PSA, SAP Success Factor), RM (Smartsheet, WorkFront), Clinical vendor data (Citeline, KMR) - 3 years At Precision for Medicine, I have worked on integrating the data of all the above mentioned disparate data platforms in 1 single dimension model (ERP, HR, RM, CRM) for creating the centralized enterprise analytics platform. I am eager to work with you, to provide reliable, consistent, and High-Level solutions to design/development challenges. Please contact me, so we can discuss how we can work together to FULLY meet your Business Needs!

As a Top Rated Plus engineering partner with over 14 years of hands-on experience, I bridge the gap between robust product engineering, high-throughput data infrastructure, and cutting-edge GenAI implementations. I have built dozens of technically successful applications from scratch, scaled secure data pipelines, and transitioned legacy monoliths into high-performance, serverless microservices used by Fortune 500 companies. My philosophy centers on structural risk mitigation for enterprise projects: I prioritize SOLID design principles, Test-Driven Development (TDD), Agile/Scrum methodologies, clean architecture, cost efficiency, and rigorous documentation. Having successfully delivered projects across heavily regulated industries - including eCommerce, healthcare, and SaaS platforms - I ensure your systems run smoothly, scale infinitely, and optimize cloud spend. --------------------------------------------------------------------------------------------------------------------- WHAT I DO & HOW I CAN HELP YOUR TEAM: AI, LLMs, & Intelligent Agents: ~ Architecting advanced retrieval-augmented generation (RAG) pipelines, building context-aware AI Agents, and integrating Large Language Models (LLMs) safely into enterprise ecosystems. Full-Stack Product Architecture: ~ Designing and engineering scalable web and mobile solutions from scratch. Expert in the MERN/MEAN stack, serverless microservices, and modern state management. Data Engineering & Analytics Stack: ~ Building comprehensive modern data stacks, managing automated ETL/ELT pipelines, and deploying cost-effective cloud data warehouses. Business Intelligence (BI) & Advanced Analytics: ~ Turning complex raw data into actionable enterprise insights via custom dashboards, real-time analytics engineering, and advanced modeling. DevOps, Infrastructure & Team Leadership: ~ Managing CI/CD deployment pipelines, containerization, and Infrastructure as Code (IaC). Collaborative partner to PMs, designers, and clients; experienced in mentoring, interviewing, educating, and code reviews. --------------------------------------------------------------------------------------------------------------------- TECH STACK & KEYWORD MATRIX: 1. Generative AI & Data Engineering [ AI/LLM Execution ]: GenAI, LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases [ Data Warehousing & Platforms ]: Snowflake, Databricks, BigQuery, AWS EMR, Data Lakes [ ETL/ELT Tools ]: dbt, Apache Spark, Pandas, Pentaho, Talend, Informatica, Snaplogic [ BI & Analytics ]: Power BI, Tableau, AWS QuickSight, Looker Studio 2. Full-Stack Frameworks & Languages [ Core Languages ]: Python, TypeScript, JavaScript (ES13+), Go, Bash [ Frontend Ecosystem ]: React, Next.js, Angular, Vue.js, React Native, Redux, Zustand, HTML5, CSS/SCSS, Webpack, Babel, Responsive Web Design, SEO [ Backend Ecosystem ]: Node.js, NestJS, Express.js, tRPC, Apollo Server 3. Infrastructure, DevOps & Databases [ Cloud Architecture ]: AWS (Lambda, SQS, ECS, S3, EC2, API Gateway, CDK), Azure, Google Cloud Platform (GCP) [ Infrastructure as Code & DevOps ]: Terraform, CloudFormation, Docker, CI/CD Pipelines, Serverless Framework, Nginx, Nx Monorepo, Lerna [ APIs & Messaging ]: GraphQL, REST, gRPC, WebSockets, Apache Kafka, RabbitMQ [ Databases & ORMs ]: PostgreSQL, MySQL, MongoDB, Firebase, Redis, Prisma 4. Team & Collaboration Tools [ Methodologies ]: Agile, Scrum, Design Principles, Design Patterns, SOLID, TDD, Clean Code [ Platforms ]: Git, GitHub, Jira, Slack, Zoom, Technical Planning, Estimating, Mentoring, Code Reviews, Interviewing --------------------------------------------------------------------------------------------------------------------- PROJECT LIFECYCLE ROLES AVAILABLE FOR: - Principal AI / Data Engineer - Senior Full-Stack Developer & Software Architect - Technical Consultant & Business Intelligence Specialist - Mobile Development Lead (Web & Mobile Solutions) --------------------------------------------------------------------------------------------------------------------- Daily Availability: 8-12 Hours/Day (Depending on project scope, role, and comfortability) If you have an active project requiring robust data architecture, seamless full-stack execution, and a reliable delivery partner, let's connect and discuss how to bring your solution to life.

I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!