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varun raj vavilala

@varunrajvavilala

Senior data engineer with 5 years exp. I build AI-augmented pipelines and star-schema models, saving $165k via automation.

United States

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What I'm looking for

I’m looking for a data engineering role where I can build governed, high-fidelity pipelines and dimensional models, automate quality checks, and optimize cost/performance—so teams can move faster with reliable analytics, experimentation, and clear executive insights.

I’m a Data Engineer who deep-dives into complex multi-source datasets (JSON/CSV) to recommend and implement cleansing and quality solutions, turning raw rights-adjacent data into high-value analytical assets with dbt. At CMS Energy, I architected a modern data stack for revenue experimentation, built automated validation to protect data fidelity for product growth and GTM execution, and established data governance frameworks to ensure confidentiality and compliance.

I design scalable dimensional models to connect instrumentation with institutional performance reporting across 80+ cross-functional stakeholders, while using AI Agents and LLMs to accelerate ETL development and proactively resolve schema drift. I also optimize query performance and cost-efficiency in Azure Databricks, automate pipelines with Change Data Capture (CDC), and validate high-volume event attributes for experimentation and predictive modeling.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

CMS Energy

Jul 2021 - Present (4 years 9 months)

Built dbt-based data transformations and automated validation to deliver high-fidelity datasets for revenue experimentation and GTM strategy execution. Improved Azure Databricks query performance and cost-efficiency by 20% and implemented Python-driven CDC pipelines to keep warehouses incrementally updated and fault-tolerant.

DBT SQL Python Azure Databricks Data Governance Data Automation

Analytics Manager

CMS Energy

May 2024 - Dec 2024 (7 months)

Identified automation opportunities that eliminated manual workflows, driving $165,000 in operational cost savings and improving data quality for decision-making. Established a dashboard certification process and monitored SLAs to maintain 99.9% data reliability, translating analytics into executive insights for strategic risk assessment and growth.

Operational Analytics Automation Data Quality Assurance Dashboarding Executive Reporting Stakeholder Management Analytical Communication

Business Analyst

Mavericks

May 2018 - Dec 2018 (7 months)

Used R to analyze financial data and uncover insights on sales and revenue, reducing operating expenses by 13%. Partnered with the sales team to identify data-driven strategies that improved subscription growth.

R financial data analysis Data Strategy Statistical Analysis