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I am a data engineer with 6 years of experience designing and implementing scalable ETL pipelines across AWS, Azure, and Google Cloud, supporting both batch and real-time data processing. I thrive in collaborative environments, partnering with data analysts, scientists, and business stakeholders to deliver clean, structured datasets, modernizing legacy ETL systems, and driving automation, security, and cost efficiency. I have hands-on experience with streaming data pipelines, cloud data warehousing, infrastructure as code, and end-to-end data product delivery. I enjoy solving complex data problems, mentoring teammates, and contributing to robust, reliable data platforms that empower reporting, analytics, and data-driven decision making.…I am a data engineer with 6 years of experience designing and implementing scalable ETL pipelines across AWS, Azure, and Google Cloud, supporting both batch and real-time data processing. I thrive in collaborative environments, partnering with data analysts, scientists, and business stakeholders to deliver clean, structured datasets, modernizing legacy ETL systems, and driving automation, security, and cost efficiency. I have hands-on experience with streaming data pipelines, cloud data warehousing, infrastructure as code, and end-to-end data product delivery. I enjoy solving complex data problems, mentoring teammates, and contributing to robust, reliable data platforms that empower reporting, analytics, and data-driven decision making.

Bhanu Lagadapati

Data Scientist, Full Stack Developer, Web Developer, +2

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I am a data engineer with 6 years of experience designing and implementing scalable ETL pipelines across AWS, Azure, and Google Cloud, supporting both batch and real-time data processing. I thrive in collaborative environments, partnering with data analysts, scientists, and business stakeholders to deliver clean, structured datasets, modernizing legacy ETL systems, and driving automation, security, and cost efficiency. I have hands-on experience with streaming data pipelines, cloud data warehousing, infrastructure as code, and end-to-end data product delivery. I enjoy solving complex data problems, mentoring teammates, and contributing to robust, reliable data platforms that empower reporting, analytics, and data-driven decision making.…I am a data engineer with 6 years of experience designing and implementing scalable ETL pipelines across AWS, Azure, and Google Cloud, supporting both batch and real-time data processing. I thrive in collaborative environments, partnering with data analysts, scientists, and business stakeholders to deliver clean, structured datasets, modernizing legacy ETL systems, and driving automation, security, and cost efficiency. I have hands-on experience with streaming data pipelines, cloud data warehousing, infrastructure as code, and end-to-end data product delivery. I enjoy solving complex data problems, mentoring teammates, and contributing to robust, reliable data platforms that empower reporting, analytics, and data-driven decision making.

Available to hire

I am a data engineer with 6 years of experience designing and implementing scalable ETL pipelines across AWS, Azure, and Google Cloud, supporting both batch and real-time data processing. I thrive in collaborative environments, partnering with data analysts, scientists, and business stakeholders to deliver clean, structured datasets, modernizing legacy ETL systems, and driving automation, security, and cost efficiency.

I have hands-on experience with streaming data pipelines, cloud data warehousing, infrastructure as code, and end-to-end data product delivery. I enjoy solving complex data problems, mentoring teammates, and contributing to robust, reliable data platforms that empower reporting, analytics, and data-driven decision making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Language

English

Fluent

Work Experience

Data Engineer at Eastern Bank

March 1, 2024 - Present

Led data engineering initiatives by organizing data with AWS Glue Data Catalog, deploying releases with AWS CodeDeploy, and managing code with AWS CodeCommit. Processed large datasets with Apache Spark (PySpark) to improve analytics performance and built Snowflake data models for reporting. Managed storage with EBS/EFS, created real-time data pipelines with Kinesis, and automated ETL workflows using Step Functions and Lambda. Deployed containerized apps with Fargate and Batch, implemented security with IAM, KMS, Secrets Manager, and Macie, and integrated RDS, DynamoDB, and Aurora. Built and maintained ETL pipelines with AWS Glue, orchestrated data transfers with DataSync and DMS, and established CI/CD with CodePipeline and CodeBuild. Authored Bash scripts for Linux-based ETL tasks and cron jobs; designed PostgreSQL schemas for multi-terabyte analytics and integrated MongoDB for semi-structured data; developed REST API data integrations and PowerShell-based ETL tooling.

Data Engineer at Travelers

January 1, 2022 - March 1, 2024

Designed scalable ETL pipelines using Azure Data Factory, PySpark, and Apache Spark; built real-time processing using Spark Streaming and Azure Stream Analytics for low-latency insights. Architected data lake/warehouse solutions on Azure Data Lake Storage, Azure Synapse Analytics, and Snowflake. Automated microservices with Azure Functions and AWS Lambda; managed big data workloads on Azure HDInsight and AWS Batch. Implemented CI/CD with AWS CodePipeline/CodeBuild and Airflow; used DBT for modular modeling. Provisioned infrastructure via Terraform and ARM templates; enforced security with IAM and Azure AD. Migrated data using DMS, DataSync, and Data Factory; conducted testing and collaborated with Data Architects on data lake architecture. Implemented GCP data pipelines (Dataflow, Dataproc, BigQuery, Pub/Sub) for batch/real-time processing; ingested data from APIs and cloud storage; transformed with Beam, SQL, Python, or Spark; optimized BigQuery with partitioning and clustering; integ

Big Data Engineer at ACT Fiber

April 1, 2020 - August 1, 2021

Designed robust ETL pipelines using PySpark to ingest data from databases, files, APIs, and streaming sources; engineered configurable data delivery pipelines with Python for scheduled updates. Built and orchestrated ETL workflows with Apache Airflow; implemented streaming ingestion using Kafka Connect and Apache NiFi. Maintained Hadoop-based data lakes on HDFS; automated infrastructure provisioning with Terraform and CloudFormation. Migrated legacy ETL processes to cloud-native architectures to improve maintainability and performance. Collected, cleaned, and validated telecom datasets; built PySpark/ Airflow pipelines; developed Power BI dashboards and performed EDA to detect anomalies. Documented workflows to support clarity and governance.

Data Engineer at PharmEasy

January 1, 2019 - April 1, 2020

Assisted in building data pipelines on GCP using Dataflow, BigQuery, and Cloud Storage; supported ETL processing with Dataflow and DataProc. Worked with Pub/Sub for real-time streaming and event-driven data flows; helped organize data in BigQuery, Bigtable, and GCS for reporting and analysis. Assisted in IAM role management and securing GCP resources; gained exposure to Snowflake for cloud data warehousing; collaborated to deliver clean datasets and documented data workflows.