Sharath Kumar
@sharathkumar1
Senior Data Engineer delivering scalable, secure cloud-native data platforms and real-time analytics.
What I'm looking for
I am a Senior Data Engineer with 7+ years building cloud-native, compliant data platforms across healthcare, banking, retail, telecom, and insurance. I design and optimize ETL/ELT and streaming architectures using Azure, AWS, and GCP, improving performance, reducing costs, and enabling real-time decisioning for fraud detection, patient monitoring, and analytics.
I lead teams to implement Lakehouse architectures, CI/CD, metadata-driven frameworks, and data governance that meet HIPAA, SOC2, GDPR, and PCI requirements. I collaborate with data scientists to operationalize ML pipelines and drive FinOps, observability, and automation to deliver reliable, auditable, and high-performance data solutions.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Project – X
May 2023 - Present (2 years 9 months)
Designed and implemented scalable Azure data platforms and real-time pipelines for healthcare, reducing ETL runtimes 30%+ and cutting monthly cloud costs by 25% while ensuring HIPAA-compliant governance.
Data Engineer
Ford
Jun 2021 - May 2023 (1 year 11 months)
Built cloud-native ETL/ELT and streaming pipelines across Azure and GCP, improving reporting performance ~45% and reducing cloud spend by 20% through FinOps and auto-scaling.
Developed scalable telecom data pipelines and migration to cloud-native architectures, lowering infrastructure costs by ~30% and enabling high-performance analytics for CDRs and network telemetry.
Education
Degrees, certifications, and relevant coursework
Gitam University
Bachelor of Computer Science, Computer Science
2015 - 2019
Completed a Bachelor of Computer Science degree focused on core computer science fundamentals and practical data engineering skills.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Data Studio
Google Cloud Storage
GitHub
GitLab
Kubernetes
AWS CodePipeline
Jenkins
GitHub Actions
GitLab CI
NumPy
Pandas
PySpark
dbt
DB
Hadoop
Gmail
Databricks
Terraform
Azure DevOps
JSON
PowerShell
Azure Machine Learning
MLflow
Kafka
Grafana
Prometheus
Azure Monitor
Datadog
Azure Security Center
AWS Lambda
Google Cloud Functions
Azure Functions
Azure SQL Database
Airflow
Apache Beam
Azure Analysis Services
Time Analytics
Root Cause
s3-lambda
Google BigQuery
SQL
Azure Blob Storage
Delta Lake
Great Expectations
Azure Logic Apps
Cosmos
Enhance
Microsoft Fabric
Phase
Dynamic
Unity Catalog
Factory
Beam
Movement
Availability
Location
Authorized to work in
Job categories
Skills
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