Nagaraju Kokku
Data Scientist
4+ years exp
SQL
Python
Active 6 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Azure data engineer focused on designing and operating scalable ETL/ELT pipelines and cloud data engineering solutions on Microsoft Azure. Experience includes Azure Data Factory-based ingestion and orchestration, SQL-based transformations, and batch processing with Azure Databricks using Spark and PySpark. Also supports data migration validation, monitoring, troubleshooting, and deployments across multiple environments.
Phone
Technical skills
Languages
2
SQL
Python
DevOps
6
AWS
GitHub
Bitbucket
CI/CD
Azure
Amazon S3
Databases
5
Azure SQL Database
MS SQL
Databricks
PostgreSQL
Oracle
Other
11
Azure Data Factory
Spark
pySpark
SSIS
Delta Lake
Apache Kafka
Airflow
Linux
Git
Unix
ETL/ELT
Timeline
Senior Data Engineer
•
Senior
Infosys
•
Full-Time
Led migration and transformation of large datasets from on-premises SQL Server to Azure. Built and optimized ETL/ELT workflows with Azure Data Factory and SSIS, including incremental load patterns and end-to-end orchestration. Developed data processing and batch transformations using Azure Synapse Analytics and Azure Databricks with Spark and PySpark. Supported pipeline monitoring, troubleshooting, and deployments across TEST/UAT/PROD using CI/CD and version control.
AWS
Azure Data Factory
Azure SQL Database
Databricks
Spark
pySpark
Python
SQL
MS SQL
SSIS
GitHub
Bitbucket
CI/CD
Data Engineer
•
Middle
Infosys
•
Full-Time
Translated business requirements into scalable data engineering solutions and managed new project intakes. Developed and maintained Azure Data Factory pipelines for automated extraction, transformation, and loading, including weekly and monthly batch processing. Monitored pipeline health, investigated failures quickly, and applied performance and workflow improvements to improve reliability for reporting use cases.
AWS
Azure Data Factory
SQL