Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Azure Data Engineer with 7+ years of experience building scalable data solutions on Microsoft Azure, including Azure Data Factory, Data Lake, Databricks, and Synapse Analytics. Strong ETL/ELT and data warehousing expertise, with a focus on delivering reliable, analytics-ready datasets. Experienced across end-to-end CDC/real-time integration, data migrations to Azure, and modern Lakehouse patterns using Microsoft Fabric (OneLake, Lakehouse, Medallion). Also builds BI solutions with Power BI and has hands-on experience with IaC using Terraform, CI/CD automation, and data quality/metadata governance.…Azure Data Engineer with 7+ years of experience building scalable data solutions on Microsoft Azure, including Azure Data Factory, Data Lake, Databricks, and Synapse Analytics. Strong ETL/ELT and data warehousing expertise, with a focus on delivering reliable, analytics-ready datasets. Experienced across end-to-end CDC/real-time integration, data migrations to Azure, and modern Lakehouse patterns using Microsoft Fabric (OneLake, Lakehouse, Medallion). Also builds BI solutions with Power BI and has hands-on experience with IaC using Terraform, CI/CD automation, and data quality/metadata governance.

Preethi E

Data Engineer, Software Engineer, Cloud Developer, +2





Azure Data Engineer with 7+ years of experience building scalable data solutions on Microsoft Azure, including Azure Data Factory, Data Lake, Databricks, and Synapse Analytics. Strong ETL/ELT and data warehousing expertise, with a focus on delivering reliable, analytics-ready datasets. Experienced across end-to-end CDC/real-time integration, data migrations to Azure, and modern Lakehouse patterns using Microsoft Fabric (OneLake, Lakehouse, Medallion). Also builds BI solutions with Power BI and has hands-on experience with IaC using Terraform, CI/CD automation, and data quality/metadata governance.…Azure Data Engineer with 7+ years of experience building scalable data solutions on Microsoft Azure, including Azure Data Factory, Data Lake, Databricks, and Synapse Analytics. Strong ETL/ELT and data warehousing expertise, with a focus on delivering reliable, analytics-ready datasets. Experienced across end-to-end CDC/real-time integration, data migrations to Azure, and modern Lakehouse patterns using Microsoft Fabric (OneLake, Lakehouse, Medallion). Also builds BI solutions with Power BI and has hands-on experience with IaC using Terraform, CI/CD automation, and data quality/metadata governance.

Available to hire

Azure Data Engineer with 7+ years of experience building scalable data solutions on Microsoft Azure, including Azure Data Factory, Data Lake, Databricks, and Synapse Analytics. Strong ETL/ELT and data warehousing expertise, with a focus on delivering reliable, analytics-ready datasets.

Experienced across end-to-end CDC/real-time integration, data migrations to Azure, and modern Lakehouse patterns using Microsoft Fabric (OneLake, Lakehouse, Medallion). Also builds BI solutions with Power BI and has hands-on experience with IaC using Terraform, CI/CD automation, and data quality/metadata governance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Senior Azure Data Engineer at R tech Sol Limited

May 1, 2023 - March 1, 2026

Worked on banking and financial services data platforms on Microsoft Azure. Developed and maintained enterprise ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process large volumes of banking data. Implemented ingestion into Azure Data Lake, performed transformations using PySpark and SQL, and ensured data quality for analytics consumption. Designed modular reusable ADF pipelines for orchestration and maintainability, and delivered curated datasets to Synapse and Azure SQL for BI reporting in Power BI/Tableau. Built CDC-based replication using Precisely for incremental/near real-time data movement. Collaborated with Agile teams to ensure secure, compliant, and optimized data solutions. Supported CI/CD and infrastructure provisioning using Terraform and DevOps tooling, and integrated streaming via Apache Kafka. Maintained and modernized workflows including SSIS/SSRS for legacy and reporting needs.

Azure Data Engineer at Atos Syntel (State Street Bank)

January 1, 2021 - May 1, 2023

Migrated and modernized legacy data systems to cloud platforms on Microsoft Azure. Designed and built scalable ETL pipelines using Azure Data Factory and Azure Databricks and implemented data storage in Azure Data Lake. Developed analytics and warehousing solutions with Azure Synapse Analytics and Azure SQL Database. Performed end-to-end transformations using Python, T-SQL, SnowSQL, and Spark (PySpark/Spark SQL). Built distributed processing solutions using Spark/Hadoop ecosystem and worked with relational and NoSQL databases including SQL Server, Oracle, MongoDB, and Cassandra. Developed SQL Server database objects (tables, views, stored procedures, triggers) and dimensional data models (star/snowflake) with KPIs using Power BI/DAX. Implemented CI/CD using Git, Jenkins, Docker, Azure DevOps and automated deployments with IaC practices. Followed SDLC in Agile environments using JIRA/Confluence.

Azure Data Engineer at HP Inc. (Bank of Baroda, General Motors)

February 1, 2020 - January 1, 2021

Developed and maintained Azure-based data pipelines for clients including Bank of Baroda and General Motors. Ingested and transformed data using Azure Data Factory, Azure Data Lake Storage, and Azure Databricks. Supported data warehousing and BI delivery using Power BI dashboards and reporting tools such as SSRS and Tableau. Worked on Spark transformations (cleansing, aggregation, joins, schema evolution) and optimized ADF ETL workflows for performance and reliability. Deployed and managed Azure Kubernetes-related infrastructure using Azure Container Service and automated CI/CD with Git, Docker, and Kubernetes. Built scalable big data pipelines using Hadoop ecosystem components, ingesting from MySQL and exporting results for analytics. Used Agile practices with JIRA and automation scripts for data loading and reporting.

Data Engineer at DXC Technology (Mosaic Insurance)

May 1, 2019 - February 1, 2020

Contributed to BI platform development and reporting aligned to Lloyd’s market requirements. Analyzed datasets using Azure SQL and built interactive dashboards in Power BI and Tableau. Designed and optimized scalable ETL workflows using Azure Data Factory and Azure Databricks and monitored cluster performance. Partnered with stakeholders to deliver self-service analytics solutions using Power BI (PowerPivot, SSAS where applicable). Integrated multiple sources (SQL Server, Oracle, Excel, Azure SQL) to provide unified reporting. Developed high-performance Spark applications using Scala and used Python/services where needed. Maintained Bitbucket repositories and implemented CI/CD pipelines. Followed Agile/Scrum practices using Jira and coordinated delivery activities.