Deepthi Pamisetty

I’m a Data Analyst with 5+ years of experience building reliable, scalable analytics and data pipelines across financial services, marketplace platforms, and healthcare. I specialize in Python, SQL, cloud data platforms, and BI tools, with a strong focus on data quality, governance, and measurable business impact.

At JPMorgan Chase, I design and automate end-to-end data pipelines using Python (Pandas, NumPy, PySpark), Apache Spark, Databricks, and AWS (S3, Athena, Glue), integrating data from 10+ internal systems. My work has reduced processing cycles by up to 30%, improved audit readiness, and lowered reconciliation issues across financial reporting. I deliver risk, cost, and regulatory reporting using advanced SQL (Oracle, Teradata) and statistical analysis in Python and R.

I build and maintain Power BI and Tableau dashboards using DAX, Row-Level Security, and incremental refresh, supporting executive and operational reviews and reducing reporting cycles by up to 40%. I’ve also developed predictive models using scikit-learn to identify risk patterns and support prioritization for risk and finance teams.

Previously at Airbnb, I partnered with product, operations, and finance teams on marketplace analytics across 5+ markets, analyzing supply, demand, and pricing data. I built dashboards in Tableau, Looker, and Power BI for 30+ stakeholders and ran A/B tests that influenced product prioritization and operational improvements.

Earlier in my career at Dell Technologies and Cipla, I supported operational, sales, and healthcare analytics by building ETL workflows with Python, SQL, and Power Query, integrating data from ERP, CRM, and clinical systems. I automated dashboards, reduced manual reporting by ~35%, and worked with regulatory and compliance teams to resolve 100+ data quality issues while meeting GAAP, SOX, GxP, CMS, and HIPAA standards.

My core strengths include Python, SQL, Spark, Databricks, AWS, Power BI, Tableau, data governance (Collibra), cost analytics (Apptio), and cross-functional collaboration. I’m known for building trusted data foundations and turning complex data into insights teams actually use. I’m looking to grow into a senior analytics role, owning large-scale data platforms and mentoring others. If you’re working on analytics, risk, or data platforms, I’m open to connecting.