Summary
Aditya Bagad is a data engineer with a Master's in Data Analytics from Dublin City University and nearly three years of hands-on experience building end-to-end data pipelines and dashboards for finance planning and sales analysis. He has implemented automated ETL processes and Python-based data cleansing that reduced manual work and supported quarter-end reporting at Red Hat, and now applies his skills at Deutsche Bank. Proficient in Python, SQL, Tableau, Power BI, Airflow and AWS Redshift, he turns messy, multi-source data into actionable dashboards and forecasts for stakeholders across geographies. Comfortable working in Agile environments, he bridges technical delivery and non-technical stakeholders through clear communication and pragmatic data models. Beyond routine reporting he’s experienced in web scraping and version-controlled workflows, and maintains a public GitHub showing practical project work. Based in Pune, he blends academic rigor with production-focused engineering to drive insights that inform business decisions.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Data Analytics, Master's degree, Data Analytics at Dublin City University