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bony srivastava

@bonysrivastava

Senior Data Engineer across AWS and Azure who built an Iceberg lakehouse for versioned analytics and time-travel queries.

India

Message

At Genpact, I built lakehouse architecture using AWS Iceberg and Apache Spark for versioned data analytics and time-travel queries. I developed PySpark ETL pipelines on AWS Glue and implemented data governance with AWS Glue Catalog, Lake Formation, and IAM policies.

Across financial, automotive, textile, and retail projects, I developed data pipelines using AWS and Azure services, Databricks, and PySpark. My work included ingesting and transforming data, optimizing analytics workflows, and creating Tableau and Power BI dashboards.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Genpact

Built lakehouse architecture using AWS Iceberg and Apache Spark for versioned data analytics and time-travel queries. Developed PySpark-based ETL pipelines on AWS Glue and implemented data governance using AWS Glue Catalog, Lake Formation, and IAM policies.

AWS Glue Iceberg Spark PySpark PostgreSQL S3 GitLab CI CD Lake Formation Lambda Athena Python Tableau

Data Engineer

Yash Technologies

Developed robust pipelines via AWS Glue and Databricks, handling IoT data from production units. Utilized Delta Lake for transactional consistency and schema evolution.

AWS Glue EMR Delta Lake Databricks PySpark Kubernetes Lake Formation S3 SQL Python

Data Engineer

Apala Design

Designed end-to-end ETL pipelines for ingesting and analyzing sales, inventory, and customer data. Leveraged AWS Iceberg for efficient storage and ACID compliance, enhancing query performance and audit tracking.

AWS Glue ADLS Gen2 Azure Azure Databricks PySpark SQL Athena Iceberg S3 Lambda Lake Formation AWS Glue DataBrew Python

Data Engineer

Ltimindtree

Ingested streaming and REST API data into Azure Data Lake Storage Gen2 using automated ingestion pipelines and workflow orchestration. Processed and transformed large-scale datasets using Apache Spark on Databricks for vehicle performance and service analytics.

Azure Databricks ADF Gitlab Tableau Spark Spark SQL