Jayanth Kumar Chenna
Senior Data Engineer @CIBC
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WORK HISTORY
Senior Data Engineer @CIBC
Built scalable ELT pipelines using Azure Data Factory, Databricks (PySpark), and Snowflake, enabling efficient batch and real-time data processing.• Integrated Great Expectations for data validation and quality checks, improving pipeline reliability and trust.• Migrated on-premise databases to Azure Data Lake and Synapse, supporting cloud data modernization initiatives.• Developed Power BI dashboards and reporting solutions using Azure SQL and streamlined CI/CD with Azure DevOps.
EDUCATION
Laurentian University/Université Laurentienne
Master of Science - MS
SREYAS INSTITUTE OF ENGINEERING & TECHNOLOGY
Computer science engineering
ABOUT JAYANTH KUMAR CHENNA
Results-driven Data Engineer with 5+ years of experience architecting and delivering robust, scalable data solutions across AWS, Azure, and GCP. Proven expertise in building real-time and batch pipelines using Kafka, Spark, Airflow, and Glue, enabling advanced analytics, automation, and business intelligence.Key skills:Big Data: Apache Spark, Hadoop, Hive, Kafka, Cassandra, HBaseCloud Platforms: AWS (S3, Redshift, Glue, EMR), Azure (ADF, Synapse, Databricks), GCP (BigQuery, Dataflow, Cloud Composer)Programming Languages: Python, Scala, SQL, PySparkData Engineering & Architecture: Legacy-to-Cloud Migrations, Change Data Capture (CDC), Delta Lake, Data Lakes, Real-time Streaming, Data WarehousingOrchestration & Workflow Tools: Apache Airflow, Control-M, Azure Data Factory, Cloud Composer, Step FunctionsDevOps & Automation: Git, Jenkins, Docker, Kubernetes, Terraform, AWS CDK, Azure DevOps, GitHub ActionsDatabase Technologies: Snowflake, Redshift, Synapse, BigQuery, PostgreSQL, MySQL, Oracle, MongoDBBI & Visualization: Power BI, Tableau, Looker, Google Data StudioSecurity & Governance: IAM, Azure Active Directory, RBAC, KMS, Apache Atlas, Glue Data Catalog
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