Open to opportunities

Bhanu Manideep Vejendla

@bhanumanideepvejendl

Message

I build scalable cloud data pipelines, lakes, and warehouses across Azure, AWS, and GCP.

United States

Message

What I'm looking for

I'm looking to build scalable cloud data platforms where I can solve complex pipeline, warehouse, streaming, and data quality challenges across Azure, AWS, or GCP.

At MetLife, I build reusable Azure data pipelines with Kafka, NiFi, Databricks, Synapse, and Python, supporting real-time ingestion, CDC, data quality, and large-scale migration. I also tune Snowflake workloads and automate CI/CD and container deployments with Jenkins, Docker, and Kubernetes.

Previously, I delivered AWS data models and ETL pipelines for Epic Games and GCP data pipelines for InCred Financial Services. Across insurance, gaming, financial services, and healthcare, I’ve used Spark, Airflow, SQL, Hadoop, and cloud-native services to turn raw data into reliable analytics-ready platforms.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

MetLife

Apr 2024 - Present (2 years 5 months)

Design, develop, and maintain pipelines that move data from various sources into MetLife's data ecosystem using Apache Kafka, Apache NiFi, and custom ETL.

Kafka Apache NiFi Azure Data Factory Azure Databricks Azure Blob Storage Spark Python Snowflake Oracle Teradata HDFS Sqoop S3 Redshift Elasticsearch Kibana MongoDB Jenkins Docker Kubernetes T SQL

AWS Data Engineer

Epic Games

May 2023 - Mar 2024 (10 months)

Created and optimized data models for efficient storage, retrieval, and analysis across relational, NoSQL, and Snowflake and Amazon Redshift data warehouses.

AWS Glue S3 Redshift DynamoDB Lambda Snowflake Spark Kafka Terraform Cassandra Java Pl SQL Cloudera Elasticsearch Logstash Kibana Docker Jenkins Jira

GCP Data Engineer

InCred Financial Services

Nov 2020 - Nov 2022 (2 years)

Transformed raw data into structured formats for analysis and reporting through cleansing, normalization, and aggregation.

GCP BigQuery Apache Beam Cloud Storage Cloud Functions Stackdriver Airflow Databricks PySpark Python Kafka Storm Hadoop Solr SQL Server Power BI Azure Analysis Services Amazon EMR S3 EC2 VPC

Data Engineer

Siemens Healthineers

Oct 2018 - Oct 2020 (2 years)

Implemented processes and tools to ensure data quality and integrity throughout the data lifecycle, including data validation, anomaly detection, and data profiling.