VENKATESH C M profile photo 1 on Tal

VENKATESH C M

Azure Data Engineer | Expert in SQL✅, Python✅, PySpark ✅ | Azure Data services: Databricks, Azure Data Factory, Power BI📈 | Databricks Certified Data Engineer | Spark Optimization | ETL Efficiency | Query Tuning

Bengaluru

1+ year of work experience

Winfeet IT Solutions
Jan 202610 mosPresent

Developed a database monitoring data platform using Microsoft Fabric, PySpark, and Delta Lake to process health and audit data from Azure, AWS, and on-premises database servers. Implemented Bronze–Silver–Gold Medallion Architecture to transform and standardize records across SQL Server, Oracle, MySQL, and PostgreSQL. Designed a star schema with 3 fact tables and 12 dimension tables and delivered analytics-ready datasets for Power BI Semantic Models.
Winfeet IT Solutions
Jun 20258 mosJan 2026

In my current role as a Data Engineer, I architect and manage scalable batch ETL pipelines using Azure Data Factory, ingesting structured SQL data into Azure Data Lake Gen2. I engineer parameterized, metadata-driven pipelines to automate both full and incremental data ingestion processes. My responsibilities also include constructing data transformation workflows with Azure Databricks and PySpark, utilizing Delta Live Tables for data cleansing and schema evolution. I produce analytics-ready datasets to support enterprise data warehousing and Power BI reporting, while ensuring compliance with healthcare data standards through the implementation of FHIR protocols. Additionally, I enforce secure data access and regulatory compliance using RBAC and Managed Identities, and I establish robust logging and monitoring frameworks to enhance pipeline reliability. Achievements: I have successfully automated complex data ingestion workflows, achieving a 70% reduction in manual effort. My efforts in improving data reliability have led to a 35% decrease in transformation errors, resulting in faster and more dependable Power BI reporting. I have also partnered with data architects and analysts to optimize data models, significantly improving query performance.
Winfeet IT Solutions
Sep 20244 mosDec 2024

Bengaluru

During my internship, I executed data extraction, transformation, and loading (ETL) processes using SQL Server to support reporting and analytics workflows. I designed and delivered interactive Power BI dashboards to analyze sales trends and generate actionable customer insights. My contributions included data modeling and ETL development, providing me with hands-on exposure to real-world data engineering practices. I enhanced data cleaning, transformation, and visualization capabilities in a fast-paced Agile startup environment. Achievements: I successfully designed interactive dashboards that provided valuable insights into sales trends, contributing to data-driven decision-making. My work in data modeling and ETL development helped streamline processes and improve overall data quality within the organization.

VENKATESH’s AI Stack

claude code
claude code
ChatGPT
ChatGPT

Education

Jss Academy of Technical Education

Bachelor of Engineering - BE, Electronics and communication engineering

Jss Academy of Technical Education

20223 yrs2025

Diploma, Electronics and Communications Engineering

Government polytechnic Chintamani

20193 yrs2022

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Headline

Azure Data Engineer | Expert in SQL✅, Python✅, PySpark ✅ | Azure Data services: Databricks, Azure Data Factory, Power BI📈 | Databricks Certified Data Engineer | Spark Optimization | ETL Efficiency | Query Tuning

About

Data Engineer with hands-on experience building Azure and Microsoft Fabric data solutions using ADF, Databricks, ADLS Gen2, PySpark, SQL, and Python. Experienced in developing ETL pipelines, Medallion Architecture, data models, and analytics-ready datasets for enterprise reporting and insights.

Location

Bengaluru

AI stack

claude code

ChatGPT

Work experience

Data Engineer at Winfeet IT Solutions, Jan 2026 - Present · 10 mos, Developed a database monitoring data platform using Microsoft Fabric, PySpark, and Delta Lake to process health and audit data from Azure, AWS, and on-premises database servers. Implemented Bronze–Silver–Gold Medallion Architecture to transform and standardize records across SQL Server, Oracle, MySQL, and PostgreSQL. Designed a star schema with 3 fact tables and 12 dimension tables and delivered analytics-ready datasets for Power BI Semantic Models.

Data Engineer at Winfeet IT Solutions, Jun 2025 - Jan 2026 · 8 mos, In my current role as a Data Engineer, I architect and manage scalable batch ETL pipelines using Azure Data Factory, ingesting structured SQL data into Azure Data Lake Gen2. I engineer parameterized, metadata-driven pipelines to automate both full and incremental data ingestion processes. My responsibilities also include constructing data transformation workflows with Azure Databricks and PySpark, utilizing Delta Live Tables for data cleansing and schema evolution. I produce analytics-ready datasets to support enterprise data warehousing and Power BI reporting, while ensuring compliance with healthcare data standards through the implementation of FHIR protocols. Additionally, I enforce secure data access and regulatory compliance using RBAC and Managed Identities, and I establish robust logging and monitoring frameworks to enhance pipeline reliability. Achievements: I have successfully automated complex data ingestion workflows, achieving a 70% reduction in manual effort. My efforts in improving data reliability have led to a 35% decrease in transformation errors, resulting in faster and more dependable Power BI reporting. I have also partnered with data architects and analysts to optimize data models, significantly improving query performance.

Data Engineering Intern at Winfeet IT Solutions, Sep 2024 - Dec 2024 · 4 mos, Bengaluru, During my internship, I executed data extraction, transformation, and loading (ETL) processes using SQL Server to support reporting and analytics workflows. I designed and delivered interactive Power BI dashboards to analyze sales trends and generate actionable customer insights. My contributions included data modeling and ETL development, providing me with hands-on exposure to real-world data engineering practices. I enhanced data cleaning, transformation, and visualization capabilities in a fast-paced Agile startup environment. Achievements: I successfully designed interactive dashboards that provided valuable insights into sales trends, contributing to data-driven decision-making. My work in data modeling and ETL development helped streamline processes and improve overall data quality within the organization.

Education

Bachelor of Engineering - BE, Electronics and communication engineering, Jss Academy of Technical Education

Diploma, Electronics and Communications Engineering, Government polytechnic Chintamani