Headline

Data Engineer @Amazon | Ex- Cognizant | IITJ Data Engineering

About

I’m a results-driven Data Engineer with 3.5+ years of experience building scalable, automated data platforms and pipelines. Skilled in Big Data technologies and cloud ecosystems, I specialize in designing end-to-end solutions for data ingestion, transformation, and analytics at scale. Currently working at Amazon, I engineer multi-region data platforms processing billions of records across NA, EU, and IN regions. I have designed and implemented Medallion (Bronze–Silver–Gold) architectures, developed high-performance PySpark and Spark SQL pipelines, and optimized large-scale transformations through advanced SQL techniques and distributed processing. My work also includes building data quality frameworks with anomaly detection, improving data reliability and observability across systems. Previously at Cognizant, I worked on a mission-critical insurance data platform using Cloudera, PySpark, Hive, and Zena, integrating diverse data sources (CSV, JSON, XML, Parquet) and delivering insights through Hive tables, APIs, and BI dashboards. I contributed to fraud detection, data standardization, and risk profiling while ensuring security through Azure Key Vault and RBAC. M.Tech in Data Engineering from IIT Jodhpur, I bring a strong foundation in data architecture, distributed systems, and cloud platforms (AWS, GCP, Azure). I focus on building clean, reliable, and scalable data solutions that drive meaningful business impact, and I continuously push myself to learn, improve, and deliver at a higher standard.

Location

Bengaluru

AI stack

antigravity

codex

Work experience

Data Engineer I at Amazon, May 2025 - Jul 2026 · 1 yr 3 mos, Bengaluru

Programmer Analyst at Cognizant, Dec 2023 - Apr 2025 · 1 yr 5 mos, Bengaluru, Karnataka, India, Developed a scalable insurance data pipeline on Cloudera for ingestion, transformation, and reporting from multiple structured and semi-structured sources. Built PySpark ETL jobs to implement key business rules. Automated workflows using Zena for orchestration and monitoring of end-to-end data processes. Secured pipeline with Azure Key Vault and enforced RBAC for sensitive data handling. Enabled data consumption via Hive tables, dashboards and APIs; optimized performance using partitioning and ORC. Streamlined deployments through CI/CD integration using GitLab.

Programmer Analyst Trainee at Cognizant, Dec 2022 - Dec 2023 · 1 yr 1 mo

Wipro Velocity Program at Wipro, Apr 2022 - Aug 2022 · 5 mos, This velocity program is basically an upgrade program for turbo candidates to provide them a hands-on experience before joining the organization. In this program, we were trained over html, css, js, core java, angular and multiple Java Full Stack concepts with learning partner StackRoute.

Programmer Analyst Trainee at Cognizant, Feb 2022 - Jul 2022 · 6 mos, Bengaluru, Karnataka, India, In this internship, got to know about basics of several Big data concepts such as Apache Spark, Apache Hadoop, Scala, ETL, ELT, HiveQL, Apache Sqoop and others. Special emphasis was given to the Java module where advanced concepts such as Collection Framework, JDBC, and Multi-threading were taught.

Education

Master of Technology - MTech, Data Engineering, Indian Institute of Technology Jodhpur

Bachelor of Technology - BTech, Applied Electronics and Instrumentation Engineering, Academy of Technology

Public links

github: https://github.com/bratati-rout