Vivek J.

As a dynamic data expert with a proven track record, I specialize in end-to-end data solutions across data engineering, data warehousing, and business intelligence (BI) domains. My focus is on building scalable, reliable, and cost-effective data pipelines and solutions that drive business growth and provide actionable insights. I am proficient in both short-term, project-based work and long-term, strategic partnerships. MY CORE COMPETENCIES AND SKILLS: • Data Engineering and ETL: I design, develop, and deploy robust ETL/ELT pipelines. I am highly skilled in AWS Glue, Matillion, Fivetran and Zapier for orchestration and data integration. I write efficient Python scripts for data processing and API extractions. My expertise covers both batch processing and real-time data streaming. • Cloud and Database Technologies: I am well-versed in cloud platforms including Amazon Web Services (AWS), Google Cloud Platform (GCP), Snowflake and Databricks. My database skills cover databases such as PostgreSQL, MySQL, SQLite and MongoDB. My expertise also includes Spark, and Kafka for big data processing. • Business Intelligence (BI) and Analytics: I transform raw data into powerful insights using leading BI tools. I create interactive dashboards and reports in Tableau, Quicksight, Microsoft Power BI, Looker and Metabase. I am also an expert in developing advanced analytics and reporting solutions. • Marketing and Advertising Data: I have significant experience extracting and integrating data from platforms like Google Analytics 4 (GA4), Google Ads, Meta Ads, Google Tag Manager, Campaign Manager 360, and Salesforce CRM. I create robust data pipelines to connect ad performance with customer behavior for effective reporting and campaign optimization. • AI/LLM-based Reporting: Skilled in creating natural language querying (NLQ) systems and reporting solutions built on Large Language Models (LLMs) to make data accessible to non-technical users. ADVANCE AND SPECIALIZED SKILLS: • Serverless Computing: Proficient in architecting cloud-native serverless systems leveraging managed services to build scalable, resilient, and cost-efficient data and application workflows. • API Integration: Expert in consuming, managing, and integrating APIs using Python to handle challenges like rate limiting, OAuth authorization, pagination, and incremental data loading. • Data Governance and Quality: I implement data quality checks and data governance frameworks to ensure data integrity and reliability. • LLM and Generative AI: I am skilled in building LLM-based reporting systems and enabling natural language querying (NLQ) to make data accessible to non-technical users. WHO I WORK WITH: Founders building AI powered products who need someone who's shipped before. Startups scaling from prototype to production with real users and real edge cases. Businesses drowning in manual data collection or repetitive workflows. Teams that tried building it themselves, hit a wall, and need someone to fix it. HOW I WORK: Scope Call — I understand your problem, constraints, and timeline. I'll tell you honestly if I'm the right fit. Architecture Doc — Before writing code, I define what we're building, why, and how. You get a clear plan with milestones. Build in Sprints — 1-2 week cycles. Working software each sprint, not status updates. Deliver & Support — 30-day support included. Systems I build keep running months after handoff.