Laksh Bhagwani

Results driven Data Engineer with 3 years of experience designing and maintaining scalable ETL pipelines, cloud data solutions and automation workflows on AWS workflows. Proven ability to reduce pipeline latency, improve data integrity, and deliver measurable business impact. Seeking to grow into role leveraging expertise in AWS (Glue, Athena, S3), Informatica PowerCenter, Oracle SQL, PySpark, and Linux shell scripting.

Data Engineer at Cognizant Technology Solutions (2022-10 – Present)

• Developed and maintained scalable ETL workflows using AWS Glue and Informatica PowerCenter, processing large volumes of enterprise data.
• Optimized complex SQL and PySpark queries on AWS Athena to support business analytics and reporting needs and reducing average execution time.
• Automated repetitive data processes using SQL scripting, improving overall team productivity and reducing manual effort.
• Collaborated with business stakeholders, analysts, and architecture teams for requirements gathering and end-to-end solution delivery.
• Ensured data integrity and compliance with organizational security standards throughout the full data lifecycle.
• Owned production support for data pipelines – proactively monitored, debugged, resolved maximum incidents within SLA window with root cause documentation.

Programmer Analyst Trainee at Cognizant (2022-03 – 2022-07)

• Developed PySpark scripts for data ingestion and transformation on enterprise datasets as part of structured big data training program.
• Trained in Big Data technologies including Hadoop, Hive, Kafka, Linux, and PySpark and applied learning to real data processing tasks.

Data Engineering Intern at Reomnify (2021-05 – 2021-08)

• Built Python-based web scraping tools using REST APIs and HTML parsing libraries to collect retail pricing data from 70+ stores.
• Cleaned and structured raw datasets enabling downstream analytics.

Bachelor of Technology (B.Tech) in Information Science – Dayananda Sagar College of Engineering (DSCE) (2018-08 – 2022-08)