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I am an experienced data engineer specializing in designing, building, and maintaining scalable data platforms in Azure and AWS ecosystems. With 11+ years in the field, I have led end-to-end ETL/ELT initiatives, data warehousing, and analytics solutions across global clients, focusing on reliability, performance, and governance. I excel at turning complex data into actionable insights through modern data architectures (Delta Lake, Synapse, Databricks, Power BI, Looker) and by collaborating with business stakeholders to deliver value-driven solutions while embracing best practices in security and compliance.…I am an experienced data engineer specializing in designing, building, and maintaining scalable data platforms in Azure and AWS ecosystems. With 11+ years in the field, I have led end-to-end ETL/ELT initiatives, data warehousing, and analytics solutions across global clients, focusing on reliability, performance, and governance. I excel at turning complex data into actionable insights through modern data architectures (Delta Lake, Synapse, Databricks, Power BI, Looker) and by collaborating with business stakeholders to deliver value-driven solutions while embracing best practices in security and compliance.

Krishnaveni Yennawar

Data Scientist, Data Analyst, Cloud Developer, +2

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I am an experienced data engineer specializing in designing, building, and maintaining scalable data platforms in Azure and AWS ecosystems. With 11+ years in the field, I have led end-to-end ETL/ELT initiatives, data warehousing, and analytics solutions across global clients, focusing on reliability, performance, and governance. I excel at turning complex data into actionable insights through modern data architectures (Delta Lake, Synapse, Databricks, Power BI, Looker) and by collaborating with business stakeholders to deliver value-driven solutions while embracing best practices in security and compliance.…I am an experienced data engineer specializing in designing, building, and maintaining scalable data platforms in Azure and AWS ecosystems. With 11+ years in the field, I have led end-to-end ETL/ELT initiatives, data warehousing, and analytics solutions across global clients, focusing on reliability, performance, and governance. I excel at turning complex data into actionable insights through modern data architectures (Delta Lake, Synapse, Databricks, Power BI, Looker) and by collaborating with business stakeholders to deliver value-driven solutions while embracing best practices in security and compliance.

Available to hire

I am an experienced data engineer specializing in designing, building, and maintaining scalable data platforms in Azure and AWS ecosystems. With 11+ years in the field, I have led end-to-end ETL/ELT initiatives, data warehousing, and analytics solutions across global clients, focusing on reliability, performance, and governance.

I excel at turning complex data into actionable insights through modern data architectures (Delta Lake, Synapse, Databricks, Power BI, Looker) and by collaborating with business stakeholders to deliver value-driven solutions while embracing best practices in security and compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Azure Data Engineer at Regions Bank, USA

November 1, 2021 - November 21, 2025

Designed dimensional models and built pipelines in Azure Data Factory to move large datasets from on-prem to Azure cloud, enabling data warehouse and data lake solutions. Developed PySpark scripts in Databricks for data cleaning, analysis, schema validation and data profiling. Created Databricks notebooks for data transformation and Parquet storage in ADLS. Implemented robust Delta Lake pipelines with schema evolution and ACID transactions, and tuned Synapse Dedicated/Serverless SQL pools for performance and cost efficiency. Led data governance, RBAC, and data masking; integrated with Purview and Defender; built multiple Data Marts in EDW, including data sourcing from MDM. Delivered Power BI reports and reports for SAS/Actimize interfaces, and migrated legacy Teradata/SAS interfaces to cloud. Collaborated across teams to ensure data quality, security, and timely production support.

Sr. BI/Data Engineer at Yash Technologies (Smith & Nephew, USA)

October 1, 2021 - October 1, 2021

Developed end-to-end Spark/Scala and Python data pipelines to extract, cleanse, and transform data from SAP Hana, SFTP, and Hadoop/HDFS into Azure Data Lake and Snowflake. Converted SAS programs to Python-based workflows for efficiency. Created and maintained SSIS packages for Excel/SQL Server data integration and built data pipelines in Spark for validation and transformation. Implemented Looker dashboards and Power BI reports, and managed source control with GitHub/Jenkins for CI/CD. Led data analytics efforts for infrastructure analytics and created data models for over 100 datasets in Snowflake.

Data Engineer at SEI Investments

April 1, 2019 - April 1, 2019

Designed scalable data pipelines using Python, PySpark and Snowflake; implemented serverless architectures with AWS Lambda/Step Functions and orchestrated ETL/ELT using Apache Airflow. Ingested data from multiple sources (AWS, on-prem, cloud) and migrated legacy systems to cloud-based data warehouses. Built distributed log processing with Spark for real-time analytics and developed data transformations and data quality checks to support downstream analytics across teams.

Data Engineer at UHG (UnitedHealth Group), India

October 1, 2014 - October 1, 2014

Developed PL/SQL packages and data migration scripts; implemented high availability and failover strategies (replication, clustering). Performed classification analyses (supervised learning) and NLP tasks; leveraged Apache Airflow in GCP Composer for data pipelines; migrated on-premises data to AWS, and created macros to automate reporting. Improved data views in Snowflake for performance, and supported BI reporting via SSAS/Power BI. Led data architecture decisions and mentored junior engineers.