Ronak Patil
@ronakpatil
Senior Data Engineer delivering governed, audit-ready data platforms with PySpark, Databricks and Azure.
NetherlandsWhat I'm looking for
I’m a Senior Data Engineer with 9.5 years of IT experience and 7+ years in data engineering, delivering enterprise data solutions across banking, finance, payments, retail, and risk management. I thrive in regulated environments where I focus on data governance, compliance, auditability, data lineage, and controlled data workflows.
Recently at Rabobank, I led Azure Databricks and PySpark pipelines that improved account visibility by 95% and cut manual analysis effort by 70%. I productionized integrations with Azure Data Factory, ADLS, and Delta Lake, and strengthened governance using Unity Catalog—improving consistency, auditability, and security for IAM datasets. I also build secure ADLS-to-Power BI services for enterprise dashboards and support reliable, standardized releases through Azure DevOps and CI/CD.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Rabobank
Oct 2024 - Apr 2026 (1 year 6 months)
Led Azure Databricks and PySpark pipelines to discover NHI data across enterprise systems, improving account visibility by 95% and reducing manual analysis effort by 70%. Built governed IAM datasets with Unity Catalog and delivered secure ADLS-to-Power BI integration to help owners mitigate NHI-related risks across 1,000+ applications.
Senior Data Engineer
Visa payment systems
Jun 2024 - Sep 2024 (3 months)
- Designed and maintained financial reporting data pipelines at Visa, a leading payment gateway with nearly 60% market share globally using PySpark, ADLS and Airflow.
- Processed terabytes of governed financial datasets to improve reporting efficiency by 40% and enable faster
payment trend analysis for BI stakeholders.
- Engineered a PySpark-based climate risk analytics platform processing multi-domain banking datasets across 11 climate risk categories, enabling scalable regulatory risk assessment and downstream reporting.
- Optimized distributed Spark workloads across 25+ Hive datasets through partitioning, per
- Built and operated 8+ production-grade Databricks pipelines processing 3.5 TB of enterprise retail data
workloads on markets, brands and customer details.
- Optimized the SQL queries for production incidents to reduce the execution time by 19 hours on production by
performing root cause analysis.
Senior Data Engineer
Smartek21
Aug 2016 - Aug 2021 (5 years)
- Built and operated 8+ production-grade Databricks pipelines processing 3.5 TB of enterprise retail data
workloads on markets, brands and customer details.
- Optimized the SQL queries for production incidents to reduce the execution time by 19 hours on production by
performing root cause analysis.
Education
Degrees, certifications, and relevant coursework
CDAC - Pune
PG Diploma, Big Data Analytics
2016 -
Completed a PG Diploma in Big Data Analytics at CDAC - Pune in 2016.
Vadodara Inst of Engg
Bachelor of Engineering, Information Technology
2010 - 2014
Earned a Bachelor’s degree in Information Technology from Vadodara Inst of Engg (2010–2014).
Tech stack
Software and tools used professionally
Availability
Location
NetherlandsAuthorized to work in
Salary expectations
Social media
Job categories
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