Rohan Bhosale

Data Engineer with 3+ years of experience designing and delivering cloud-based ETL/ELT pipelines, real-time and batch data processing systems, and analytics solutions on Azure Databricks and Microsoft Fabric.

Databricks Certified Data Engineer

Associate and Microsoft Certified Fabric Data Engineer Associate, with hands-on expertise in PySpark, Delta Lake, Delta Live Tables, Unity Catalog, Azure Data Factory, and Power BI.

Background spans BFSI/NBFC data integration, large-scale data migration, and BI-driven engineering, with a consistent record of improving pipeline reliability, reporting accuracy, and analytics turnaround time.

Data Engineer at Rbhu Etg Private Limited (2026-02 – 2026-03)

Engaged on a short-term contract to design ETL pipelines integrating Loan Management System (LMS) data across Azure SQL, MySQL, and IBM DB2 for enterprise reporting in the NBFC lending domain.

• Built automated ETL workflows that migrated 35M+ records from on-premise systems to AWS EC2-hosted MySQL staging environments, implementing reconciliation and validation checks to maintain data accuracy at scale.
• Improved reporting accuracy and downstream analytics consistency by re-engineering data transformation and aggregation logic across the enterprise reporting layer.
• Worked with cross-functional teams to streamline ETL scheduling and dashboard refresh cycles across enterprise Power BI reporting systems.

Associate Software Engineer – Data Engineer at Bizmetric (2024-07 – 2025-10)

• Built an end-to-end data engineering pipeline on Azure Databricks using Delta Live Tables, PySpark, and Spark Structured Streaming to support both real-time and batch processing for enterprise reporting datasets.
• Built ingestion frameworks using Databricks Autoloader to process streaming and incremental data loads from multiple upstream sources into Delta Lake, cutting manual ingestion effort by an estimated 8–10 hours per week.
• Developed PySpark ETL pipelines to cleanse and enrich large-scale datasets; implemented Star Schema modeling and SCD Type 2 to preserve historical accuracy for downstream analytical reporting.
• Managed data governance and access control through Unity Catalog, maintaining compliance and full lineage across all Bronze, Silver, and Gold layer data assets.
• Deployed Delta Live Tables with built-in data quality expectations, reducing data quality incidents reaching production reports by an estimated 30%.
• Partnered with cloud architects and BI teams to integrate migrated datasets into Power BI and Microsoft Fabric, improving analytics accessibility and dashboard refresh performance by approximately 40%.

Design Engineer at Suntuity (2020-01 – 2022-05)

• Began transitioning into data engineering by applying Azure Databricks and PySpark to build distributed data transformation logic and standardize cleansing rules across design and production datasets.
• Analyzed production data to identify performance deviations and recurring quality issues, enabling earlier detection of design defects before they reached downstream stages.
• Built interactive Power BI dashboards tracking KPIs including defect rates, production time, and cost optimization, used directly by operations stakeholders for weekly reviews.
• Automated dataset refresh using ADF triggers and custom scripts, cutting report generation time by 40% and freeing up an estimated 5+ hours per week previously spent on manual reporting.

Post Graduate Diploma in Big Data Analytics – Center for Development in Advanced Computing (CDAC) (2023-03)

Bachelor of Engineering in Electrical Engineering – Mumbai University (2019-06)