Foundational Data Automation

Joined TCS/WNS as a junior analyst programmer and immediately took on a portfolio spanning multiple clients and multiple concurrent projects — market research datasets and medical questionnaire analysis with rigorous validation standards.

Developed a reusable suite of Shell Scripts that automated the full pipeline: raw data ingestion, schema-specific cleaning and transformation, multi-dimensional validation, and formatted output delivery. Scripts were parameterised by client schema so a single pipeline codebase served every account. Ran processing asynchronously overnight, freeing working hours for exception handling and quality verification rather than manual data entry.

Within months, productivity metrics ranked consistently at the top of the team — a pace sustained for five consecutive months. The automation patterns built here were adopted as the team standard. Before the first year was complete, transitioned from individual contributor to leading a team, applying the same systematic thinking that drove personal output to coordinate and grow a broader group.

Achieved the highest productivity hours in the organisation for five consecutive months while concurrently managing multiple client accounts and project streams with millions of records. Promoted to team lead within the first year.

Automation pipelines reduced error rates from 15% to 0.2% and cut report turnaround from days to minutes — establishing a new benchmark for data processing reliability that the wider team adopted as standard practice.