Mohanish Pingale

Production-grade ETL pipelines with PySpark, Pandas & Databricks to process large-scale vehicle telemetry into curated Lakehouse datasets on Amazon S3, queried via Trino. Built two LLM-powered AI products using RAG architecture adopted by 250+ internal users. Onsite Wolfsburg, Germany: aligned AI & analytics solutions with VW's global data strategy. Extended Apache Superset & developed custom React analytics app for enterprise reporting.

Designed Python-based backend APIs and data pipelines supporting analytics, reporting, and data transformation across diverse client projects. Built interactive dashboards and visualizations with Dash and Plotly, delivering self-service insights to business stakeholders and cutting reporting turnaround significantly. Ensured data accuracy through rigorous SQL and Python-based transformation and validation workflows across all analytics outputs.

Contributed to Java-based enterprise backend systems at one of Germany's most iconic engineering companies. Implemented RESTful services and core business logic within structured, enterprise-grade development standards. Built modular, maintainable code as part of a professional engineering team, establishing a strong foundation in backend architecture and software engineering practices carried forward throughout my career.