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Kumar Ankit

@kumarankit2

Data Engineer who built AWS Glue pipelines at Alcon Laboratories processing 100M+ records daily and reducing downstream data volume by 26%.

India

Message

At Alcon Laboratories, I built AWS Glue PySpark pipelines across HR and finance, processing 100M+ records daily. I redesigned deduplication logic to reduce downstream data volume by 26% and created a data health monitoring framework for production pipelines.

At E2open, I architected an AWS data lake pipeline using Airflow, Glue, S3, and Lambda, improving execution efficiency by about 30%. I also built a config-driven ingestion framework with schema validation and quarantine mechanisms to reduce data quality issues.

Experience

Work history, roles, and key accomplishments

Senior Associate Data Engineer

Alcon Laboratories

Jun 2025 - Aug 2026 (1 year 2 months)

Built AWS Glue (PySpark) pipelines across HR and finance domains processing 100M+ records daily. Reduced downstream data volume by 26% and engineered a data health monitoring framework using AWS Glue and SES.

AWS Glue PySpark AWS SES AWS Step Functions Data Pipelines Data Quality Technical Documentation Mentorship

Data Engineer

E2open

Jul 2022 - May 2025 (2 years 10 months)

Architected a multi-source AWS data lake pipeline using medallion architecture, improving pipeline execution efficiency by ~30%. Built a config-driven ingestion framework and designed modular parent-child Airflow DAGs.

AWS Airflow Glue S3 Lambda PySpark Spark SQL Parquet Medallion Architecture SCD Data Quality

Project Engineer

Wipro

Sep 2020 - Jul 2022 (1 year 10 months)

Implemented SQL-based transformations and business logic for reporting and analytics. Performed source-to-target data validation, root cause analysis, and defect resolution for enterprise data integration projects.

SQL Data Validation Root Cause Analysis AWS Glue ETL Stored Procedures