API / CDC
KAFKA
OPEN TO SENIOR DATA ENGINEERING ROLES
SENIOR DATA ENGINEER · RALEIGH, NC
I build cloud data platforms for batch and streaming workloads.
I’m Bhanu, a Senior Data Engineer with 7+ years of experience turning high-volume data into reliable systems across Azure, AWS and GCP.
WORKLOADS BATCH + STREAM
DELIVERY CI/CD
DESIGN CLOUD NATIVE
EVENT STREAM
INGESTING EVENTS
SPARK
DATABRICKS
DELTA LAKE
SNOWFLAKE
BI / ML
DATA PRODUCTS
✓ schema contracts
✓ quality gates
✓ lineage & observability
✓ failure recovery
7+
years engineering
data platforms
data platforms
3
cloud ecosystems
Azure · AWS · GCP
Azure · AWS · GCP
4
personal data engineering
projects
projects
4
industry domains
Insurance · Gaming · Financial Services · Healthcare
Insurance · Gaming · Financial Services · Healthcare
01 · ABOUT
I care about what happens after a pipeline goes live.
A good data platform should be reliable today and understandable six months from now.
My work has taken me across insurance, gaming, financial services and healthcare. I’ve built pipelines that ingest, process and organize data for analytics, reporting and downstream applications.
I focus on the work that keeps a platform useful after launch: data quality, failure recovery, monitoring, security, performance and cost. I also build reusable patterns so other engineers can deliver and support pipelines more consistently.
02 · EXPERIENCE
What I’ve worked on.
Each role has strengthened a different part of my data engineering experience.
METLIFE · CARY, NORTH CAROLINA
Azure Data Engineer
At MetLife, I build and maintain Azure pipelines with Kafka, NiFi, Data Factory and Databricks. I’ve also developed reusable Python patterns for Synapse integration and change data capture.
EPIC GAMES · CARY, NORTH CAROLINA
AWS Data Engineer
At Epic Games, I developed AWS workflows with Spark, Glue, Snowflake and Redshift. Automating infrastructure with Terraform reduced management time by 90% and helped improve uptime.
INCRED FINANCIAL SERVICES · MAHARASHTRA, INDIA
GCP Data Engineer
At InCred, I built GCP pipelines with Dataflow, Apache Beam, Dataproc, BigQuery and Spark, and monitored jobs for performance and cost.
SIEMENS HEALTHINEERS · MAHARASHTRA, INDIA
Data Engineer
At Siemens Healthineers, I developed batch and streaming ETL pipelines with Kafka, Spark Streaming, Python and Snowflake, supported by validation and data-quality checks.
03 · TECHNICAL STACK
Tools I’ve used to deliver data systems.
Grouped by where they fit in the work, from ingestion through production delivery.
01
INGESTION & ORCHESTRATION
Reliable movement from source to platform.
Kafka
Airflow
Azure Data Factory
APIs & Postman
Apache NiFi
AWS Glue
Cloud Dataflow
Apache Beam
Java Message Service
02
PROCESSING & MODELING
Batch and streaming transformations at scale.
Apache Spark
Databricks
Python & PySpark
dbt
SQL
Hadoop
Apache Storm
Dataproc
Java
03
LAKEHOUSE & WAREHOUSE
Governed storage and analytics-ready models.
Snowflake
ADLS
Amazon S3
BigQuery
Delta Lake
Apache Parquet
PostgreSQL
Azure Blob Storage
Azure Synapse
Azure SQL Warehouse
Amazon Redshift
DynamoDB
Elasticsearch
SnowSQL
04
CLOUD, PLATFORM & DELIVERY
Repeatable infrastructure and production delivery.
Microsoft Azure
AWS
Google Cloud
Terraform
Docker
Kubernetes
GitHub Actions
Jenkins
Git
Grafana
Kibana
AWS Lambda
Cloud Monitoring
Looker Studio
Docker Swarm
ENGINEERING PRINCIPLES
Idempotent pipelines · Data contracts · Automated testing · Checkpointing · Backfills · Lineage · Monitoring · Secure access
04 · SELECTED ENGINEERING WORK
Projects that show how I work.
Four personal engineering projects, each built around a practical data problem, a defensible architecture and production-minded reliability.