Pavan Jadala
@pavanjadala
I build reliable data pipelines and dashboards that turn complex data into actionable insights.
United StatesWhat I'm looking for
At The Home Depot, I engineer Snowflake datasets, Airflow and dbt ELT workflows, and Power BI dashboards used by 200+ users. I improved report refresh times by 35% and increased dashboard adoption by 40%.
Previously at Nike, I built SQL and SSIS pipelines, optimized Python and PySpark workflows, and delivered Power BI and Tableau reporting for HR and Finance teams. My work reduced reporting turnaround by 40%, improved pipeline runtime by 30%, and increased report refresh speed by 25%.
At Paytm, I analyzed transaction data supporting more than 5 million daily transactions, automated reporting, reconciled settlement data, and uncovered merchant-engagement opportunities through customer segmentation. I use SQL, Python, data quality practices, and AI-assisted workflows to solve operational problems in fast-paced, regulated environments.
Experience
Work history, roles, and key accomplishments
Engineered over 30 complex SQL queries in Snowflake to create consolidated data sets and collaborated with stakeholders to deliver Power BI dashboards used by 200+ users. Orchestrated multi-step ELT workflows using Apache Airflow and dbt, integrating automated failure alerts and root cause analysis to ensure data quality and reduce pipeline downtime.
Built over 15 SQL and SSIS ETL pipelines in collaboration with HR and Finance teams to extract and prepare datasets, reducing reporting turnaround by 40%. Optimized Python and PySpark workflows to process large operational datasets, improving data pipeline runtime by 30% and enabling faster analytics delivery.
Executed complex SQL queries on MySQL databases with multi-table joins and window functions, ensuring accuracy for daily reports tracking over 5 million transactions. Analyzed large transaction datasets using Python and pandas to identify key patterns, reducing investigation time by 30% through targeted exploratory data analysis.
Education
Degrees, certifications, and relevant coursework
Florida Atlantic University
Master of Science, Data Science and Analytics
2023 - 2025
Grade: 3.86
Pursued a Master of Science in Data Science and Analytics with a CGPA of 3.86.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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