Namit Goyal

About Namit Goyal

Engineer Who Builds Scalable Data Pipelines, Automates Workflows & Optimizes Cloud InfrastructurePassionate Data Engineer with ~2 years of experience in designing cloud-native data pipelines, ETL workflows, and event-driven architectures. Currently at ZS Associates, where I partner with Fortune 500 clients to build and scale robust data solutions using Apache Airflow, PySpark, AWS Redshift, Glue, Lambda, and DynamoDB — reducing data refresh latency by 38%, automating SQL workflows to cut manual effort by 48%, and enabling $200K+ in new revenue through optimized reporting systems.Previously at Rupeek Fintech, I reduced monthly AWS costs from ₹43L to ₹30L by auditing infrastructure and implementing rightsizing, reserved instances, and tiered storage strategies. At Samsung SDS, I enhanced UI performance, strengthened authentication with JWT, and ranked in the top 5% of interns for coding & algorithmic skills.Skilled in Python, SQL, PySpark, Airflow, Snowflake, AWS (S3, Redshift, Glue, Lambda, DynamoDB), and Data Modeling, with a strong foundation in Data Structures, Algorithms, and scalable system design. Recognized as a Flipkart Grid 4.0 Top 50 Finalist (out of 150K+ participants) and Smart India Hackathon finalist for innovative problem-solving. I’m passionate about building reliable, scalable, and high-performance data systems, and I’m always open to exploring opportunities in data engineering, cloud platforms, and large-scale distributed systems. Let’s connect:

Experience

1. Business Technology Solutions Associate

   ZS

   Nov 2023 — Present · Gurugram, IN

   Built and managed robust ETL pipelines using Apache Airflow, PySpark, and AWS Redshift, significantlyreducing data refresh time by 38%, improving real-time availability of business-critical data.• Streamlined data ingestion and transformation workflows from multiple sources (Snowflake, S3, Redshift) by leveraging Spark optimizations such as broadcast joins, caching, and partition pruning.• Migrated legacy Python scripts and cron jobs to an event-driven AWS architecture, utilizing AWS Glue,Lambda, and DynamoDB to improve scalability, reduce cost, and eliminate single points of failure.• Elevated report generation by 35% with a SaaS model, optimizing scalability, performance and responsiveness, enhancing user experience and boosting client retention, generating $200K in annual revenue.• Automated complex business logic workflows in AWS Redshift using scheduled SQL jobs (daily, weekly, and quarterly), reducing manual interventions by 48% and ensuring consistent, error-free data processing.• Developed and deployed a performance-based incentive program that integrated sales metrics into eligibility logic, fostering competitive motivation and improving productivity within sales teams by over 25%.

Education

• UIET Panjab University

  B.E.

  2019 — 2023