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Venkateswarlu Bondalapati

@venkateswarlubondala

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Experienced Data Engineer with expertise in scalable data pipelines.

United States

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What I'm looking for

I am looking for a role that challenges my skills in data engineering and offers opportunities for growth in cloud technologies and data architecture.

I am an experienced Data Engineer with over 5 years of expertise in designing, building, and optimizing scalable data pipelines and architectures across cloud platforms such as AWS and Azure. My background includes a proven track record of enabling data-driven decision-making by integrating, transforming, and managing large datasets effectively.

Throughout my career, I have developed and executed data pipelines and data lake requirements using a variety of technologies including Python, SQL, and the Big Data technology stack. I have hands-on experience with AWS services like S3, Redshift, and EMR, as well as Azure services such as Azure Data Lake and Databricks. My work has involved migrating SQL databases to Azure, implementing ETL processes, and utilizing tools like Apache Kafka and Airflow for data orchestration.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

Aetna

Apr 2024 - Present (1 year 4 months)

Designed and implemented scalable, secure, and high-performance data solutions on Azure. Architected data pipelines, data lakes, and data warehouses to meet business requirements.

Airflow Azure Docker Hive Kafka Databricks Python SQL Kubernetes

AWS Data Engineer

Eversource Energy

Nov 2023 - Present (1 year 9 months)

Developed and managed ETL/ELT pipelines to ingest data from various sources. Utilized AWS services like AWS Glue, AWS Data Pipeline, or Amazon Kinesis for data integration and real-time data streaming.

AWS ETL Lambda Hive Snowflake Terraform Jenkins Git S3

GCP Data Engineer

ABN AMRO

May 2021 - Present (4 years 3 months)

Implemented and managed GCP data storage solutions such as BigQuery, Cloud Storage, Cloud SQL, and Firestore. Optimized data storage for performance, scalability, and cost-efficiency.

GCP BigQuery Python Apache Beam Databricks Scala Kafka Sqoop Airflow

Data Engineer

Ingredion Incorporated

Apr 2019 - Present (6 years 4 months)

Integrated data from disparate sources and formats to create a unified view of the organization's data assets. Performed ETL to move data from source to destination systems and worked on the Data warehouse.