Open to opportunities

Lokeshwari KRISHNAN

@lokeshwarikrishnan

Message

I’m a product-focused Data Operations professional building automation-driven data and API workflows.

India

Message

What I'm looking for

I’m looking for a role where I can build automation- and API-driven data workflows, ship reliable migration/ETL systems, and explore Generative AI product ideas through rapid experimentation and user-focused problem solving.

I’m a product-oriented Data Operations professional with 5+ years of experience building workflow automations, API-driven systems, and data solutions in fintech and SaaS environments. I collaborate cross-functionally to gather requirements, validate workflows, and improve operational efficiency using AI-assisted and automation-driven approaches.

In my recent work as a Product Migration Engineer, I designed and automated data migration workflows using Python, Pandas, SQL, and Azure Data Factory, including strategy, scope, cutover, and rollback planning for large-scale implementations. I also built and monitored ETL pipelines (Airflow/ADF), implemented data quality checks and reconciliation metrics, and ensured regulatory compliance, data privacy, and integrity throughout migration lifecycles.

Experience

Work history, roles, and key accomplishments

Associate Software Engineer

Mphasis

Jul 2021 - May 2024 (2 years 10 months)

Worked on banking and financial data systems for Peridot Financing Solutions, performing end-to-end data mapping from source systems to data warehouse/data mart layers for transactional and master data. Supported data warehouse renewal initiatives including schema changes, historical data migrations, and reconciliation, with data modeling and validation in Snowflake/Azure.

Python Pandas SQL Data Mapping Data Warehouse Data Marts Snowflake Azure Data Modeling Data Reconciliation Schema Migration CI CD Flask Stakeholder Management Requirements Gathering

Product Migration Engineer

Zuper

Designed and automated data migration workflows for large-scale SaaS at Zuper, reducing migration time by 20%. Built and monitored ETL pipelines with Python, Pandas, SQL, Azure Data Factory, and Airflow, including data validation/reconciliation and compliance-aware migration execution.