Harsha Kandru
@harshakandru
I build scalable cloud data pipelines and real-time analytics platforms.
What I'm looking for
At HCA Healthcare, I architect high-throughput ETL/ELT pipelines with Azure Data Factory, Databricks, Synapse Analytics, ADLS Gen2, and PySpark. I've improved cloud data reliability through monitoring, data-quality validation, CI/CD automation, Medallion Architecture, and a Service Fabric proof of concept that reduced latency by 30%.
Previously, I built streaming and ETL solutions for Bank of America through Infosys, using AWS Glue, Kinesis, Kafka, Flink, Snowflake, EMR, and Databricks. I bring more than four years of full-SDLC data warehousing and business intelligence experience across Azure, AWS, Hadoop, SQL, and Power BI.
Experience
Work history, roles, and key accomplishments
Sr. Azure Data Engineer
HCA HealthCare
Jan 2025 - Present (1 year 7 months)
Architected and developed high-throughput, fault-tolerant ETL/ELT pipelines using Azure Data Factory, integrating on-premises and cloud data sources. Implemented Lakehouse and Medallion Architecture patterns with Delta Lake and built real-time event-driven workflows using Kafka and Azure Event Hubs.
Education
Degrees, certifications, and relevant coursework
Trine University
Master of Science, Information Studies
Pursued a Master's degree in Information Studies.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure HDInsight
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Amazon S3
GitHub
Kubernetes
Azure Kubernetes Service
Jenkins
Jupyter
NumPy
Pandas
PySpark
AWS Data Pipeline
DB
Sqoop
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Yarn
Databricks
Microsoft Teams
Terraform
Visual Studio
Azure DevOps
JSON
TensorFlow
Kafka
Azure Service Bus
Apache NiFi
Azure Service Fabric
Zookeeper
Ubuntu
Linux
Windows
Amazon Kinesis
Avro
Azure Functions
Azure SQL Database
sso
Airflow
Time Analytics
Amazon EMR
SQL
Azure Cosmos DB
Azure Blob Storage
SciPy
Delta Lake
Azure Logic Apps
Cosmos
Agentic
Microsoft Fabric
Loops
Factory
Movement
Availability
Location
Authorized to work in
Job categories
Skills
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