
Senior Data Engineer with 10+ years of experience architecting and delivering scalable, low-latency, and compliance-driven data platforms across payments, wealth management, and large-scale enterprise systems. Proven expertise in ETL/ELT modernization, Snowflake, dbt, and CI/CD-driven data deployments, enabling reliable analytics and faster time-to-insight.
Strong advocate of AI-assisted engineering, leveraging tools such as Microsoft Copilot, Windsurf, and advanced prompt engineering to significantly improve developer productivity, code quality, and operational efficiency. Highly skilled in designing resilient data pipelines, optimizing large-scale data processing, and building robust data architectures that support business-critical decision-making.
Hands-on expertise in Python and SQL, with deep experience in cloud-native data platforms, including Snowflake and Amazon S3, and a strong track record of cross-functional collaboration to deliver high-impact, data-driven solutions at scale.
Data Engineering: Python, SQL, ETL/ELT, API Integrations, Batch Incremental Processing, Data Quality, Reconciliation , Data warehouse
Data Platforms: Snowflake, Oracle, MySQL, Vertica, Data Lakes
Worked with various formats : Different Database sources , JDON , XML , CSV , Parquet, API
Kafka
JIRA
Postman
ETL Modeling: DBT, Pentaho (PDI), Informatica PowerCenter, ETL Pipelines , ETL Optimization techniques
DevOps CI/CD: GitLab CI/CD, Version Control, Automated Deployments, Environment Promotion
Cloud Storage: AWS S3
Payments Compliance: SEPA Credit Instant Payments, IBAN Validation, Verification of Payee
AI-Augmented Development: Microsoft Copilot, Windsurf, Prompt Engineering, Custom AI Agents
Web Application: HTML , CSS , Javascript ,JSON