Jun 2022 – Mar 2026 · 3 yrs 9 mos · Berlin, Germany · On-site

• Accountable for the architecture, strategy, and governance of Zenjob’s centralised data platform, enabling compliant, analytics-ready data across the organisation.
• Directed the migration from Amazon Redshift to Snowflake, designing an end-to-end data infrastructure with a governance-first posture on quality, privacy, and regulatory compliance.
• Built and operationalised an AWS-based data lake (S3, Glue, Athena, DMS) integrated with Snowflake, implementing SLAs, RBAC, and cost/performance guardrails.
• Designed and rolled out organisation-wide data catalog & lineage capabilities with ~80% documentation coverage, improving discoverability, ownership, and audit readiness.
• Led the implementation of dbt as the company’s transformation standard, building it from scratch and enabling a self-serve model where non-specialists can create tested, version-controlled models with minimal prior coding knowledge.
• Established data contracts between source data providers and the data platform team to reduce pipeline breakages, maintain compliance, and ensure consistent data quality.
• Partnered with Product, BI, and Compliance to align on governance policies, drive adoption of self-serve analytics, and improve time-to-insight across business teams.

Sep 2016 – May 2022 · 5 yrs 8 mos · Bengaluru, Karnataka, India · On-site

• Enterprise Data Lake/ Cloud Data Warehouse
• Spearheaded the design and development of migration strategies from on-premise Oracle database to Snowflake data warehouse
• Designed and implemented Snowpipes for continuous data load with Change Data Capture (CDC) and orchestrated bulk data loading from on-premises using COPY
• Architected internal and external stages in S3 for seamless data transformation and loading processes
• Owned the implementation and optimization of various Snowflake utilities such as Snow Pipe, Secure Views, Tasks, Streams, Time Travel, Cloning, and Data Sharing
• Led efforts in optimizing data load processes and pipelines through innovative clustering and partitioning techniques
• Pioneered the development of ETL pipelines using Python and Snowflake SnowSQL, ensuring efficient data extraction, transformation, and loading
• Demonstrated proficiency in crafting and fine-tuning SQL queries for comprehensive data analysis
• Took charge of developing Python scripts for Airflow DAGs, enabling seamless job scheduling and task
• management

Jan 2013 – Aug 2016 · 3 yrs 7 mos · Bengaluru, Karnataka, India · On-site

• Risk Management (Financial Risk Profile(FRP)) :
• Extensive experience building Data Warehouses, Data Marts, and overseeing Data Integration and
• ETL processes in Financial Credit Risk and Market Risk sectors.
• Proficient in developing complex MSSQL queries, Stored Procedures, Functions, Views, and Triggers
• using SQL Server and TSQL.
• Skilled in maintaining, debugging, and optimizing SQL scripts, as well as supporting Informatica ETL
• processes, ensuring data accuracy and reliability.