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Akshat Upadhyay

@akshatupadhyay

I’m a data analytics professional using SQL, Python, and PySpark to deliver KPI reporting and customer behavior insights.

India

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What I'm looking for

I’m looking for a data analytics role where I can build ETL pipelines, validate data quality, and deliver KPI-focused dashboards and customer insights that drive business decisions with stakeholders.

I’m a data analytics professional with 3 years of experience delivering analytical solutions through SQL, Python, and PySpark. I focus on ETL development, data quality validation, KPI reporting, and stakeholder-driven insights across large-scale datasets, helping teams translate data into measurable outcomes.

At ZS Associates, I built and maintained analytics-ready datasets (processing 10M+ records) and developed and optimized 100+ complex SQL queries to improve reporting efficiency by 40%. Earlier at Jio Platforms Limited, I created PySpark-based analytical ETL pipelines and used SQL/Python to evaluate feature adoption and engagement trends. I also designed a churn & revenue analytics platform using fact/dimension modeling to calculate ARPU, churn rate, retention rate, and customer lifetime value, supported by Power BI dashboards for retention and growth decisions.

Experience

Work history, roles, and key accomplishments

Current

Data Associate

Current

ZS Associates

Feb 2025 - Present (1 year 6 months)

Built and maintained analytics-ready datasets using SQL and PySpark to process 10M+ records for campaign performance and customer engagement reporting. Developed and optimized 100+ complex SQL queries, improving reporting efficiency by 40% and delivering performance reports for marketing leadership decision-making.

SQL PySpark ETL Development KPI Reporting Customer Engagement Analytics Complex Queries Stakeholder Management

Product & Data Analyst

Jio Platforms Limited

Jun 2023 - Jan 2025 (1 year 7 months)

Built PySpark-based analytical ETL pipelines to process multi-source customer usage data for product performance analytics. Performed customer behavior and engagement analysis using SQL and Python to assess feature adoption trends, define success metrics, and deliver data-driven recommendations to product and engineering stakeholders.