Akash Pathak
@akashpathak
Data Engineer focused on scalable Azure pipelines, faster ETL, and reliable analytics platforms.
IndiaWhat I'm looking for
I’m an Azure-focused Data Engineer who builds migration-ready, high-throughput data pipelines that keep cutovers zero-data-loss and ETL times consistently lower. At OneSavingsBank, I led the migration of 5+ enterprise banking sources to Azure using PySpark and SQL.
I engineered 20+ ingestion pipelines with Databricks, ADF, and Microsoft Fabric, using Kafka and a Medallion architecture to process 100K+ records/day and improve query performance. I also developed Synapse Data Warehouse layers with watermarking and SCD Type 2, plus star-schema modeling to support curated downstream APIs.
In my current role, I automate data movement across Fabric Lakehouses and manage CI/CD in Azure DevOps, cutting release cycles by 25% while keeping environments scalable. I aim for data products that are maintainable, observable, and built for change.
Before this, I worked as a Data Analyst where I reduced data processing time by 20% through automated pipelines and ETL optimization using Python, Azure, and Power BI. I also led a team of 3 associates, driving operational improvements through data quality scorecards and insights.
Experience
Work history, roles, and key accomplishments
Data Engineer
OneSavingsBank (OSB Group)
Feb 2025 - Present (1 year 3 months)
Led migration of 5+ enterprise banking sources to Azure (ADLS, Synapse) using PySpark and SQL, enabling zero-data-loss cutover and reducing ETL time by 30%. Built 20+ ingestion pipelines in Databricks, ADF, and Microsoft Fabric using Kafka and medallion architecture to process 100K+ records/day.
Automated data pipelines and optimized ETL using Python, Azure, and Power BI to reduce data processing time by 20%. Analyzed 1.5M+ records with Databricks and Python, improving reporting efficiency by 30% through weekly data quality scorecards.
Managed financial data gathering and preprocessing to ensure accuracy for enterprise-level reporting. Extracted and manipulated complex datasets using advanced SQL, and developed star schema models and DAX-based Power BI KPIs that improved operational efficiency by 30%.
Education
Degrees, certifications, and relevant coursework
Great Lakes Institute of Management
MBA, Analytics
2022 - 2023
Grade: 3.47/4.0
Earned an MBA in Analytics (June 2022–June 2023) with a CGPA of 3.47/4.0.
West Bengal University of Technology
Bachelor of Technology, Electronics & Communication
2015 - 2019
Grade: 8.63/10.0
Completed a B.Tech in Electronics & Communication (Aug 2015–Jun 2019) with a CGPA of 8.63/10.0.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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