Vikas Kamble

Associate Consultant

Pune, Maharashtra, India4 yrs 1 mo experience

Key Highlights

4+ years of experience in Data Engineering.
Expertise in Azure Data Factory and Databricks.
Proficient in building scalable data pipelines.

Stackforce AI infers this person is a Data Engineering expert in Fintech and Healthcare sectors.

Contact

vk72915@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringAzure Data FactoryData IntegrationData MigrationData TransformationData WarehousingDatabase Management

Other Skills

Python (Programming Language)SQLSQL AzureAzure DatabricksPySparkSpark SQLExtract, Transform, Load (ETL)SnowflakeMicrosoft SQL ServerOracle SQL DeveloperJavaMicrosoft FabricOracle Database AdministrationDatabasesAzure DevOps Services

About

With 4+ years of experience in Data Engineering and Data Warehousing, I specialize in designing and developing scalable, efficient, and robust data pipelines, ensuring data accuracy, integrity, and performance across enterprise systems. Proficient in end-to-end ETL processes, including data extraction, transformation, and loading (ETL/ELT), ensuring seamless data flow, quality, and governance. Skilled in Azure Data Factory, Azure Databricks, PySpark, Snowflake, SQL, and Python, with expertise in big data processing, data modeling, and performance optimization. Passionate about leveraging data-driven insights to enhance decision-making, streamline business operations, and drive innovation within organizations.

Experience

4 yrs 1 mo

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Nice software solutions pvt. ltd.

Consultant

Jun 2025 – Present · 1 yr · Pune District, Maharashtra, India · On-site

On site: 360 ONE Wealth & Asset Management (formerly IIFL Wealth Management)
Design, implement, and monitor end-to-end data pipelines in Azure to ensure seamless data ingestion, transformation, and loading into SQL Azure.
Build and optimize Azure Data Factory (ADF) pipelines for scalable, automated, and efficient data integration across multiple business systems.
Develop and maintain control and configuration-driven pipelines, enabling dynamic loading strategies and minimizing manual intervention.
Perform data validation, quality checks, and error handling to ensure accuracy, consistency, and compliance with business rules.
Integrate pipelines with Azure SQL Database, Azure Data Lake, and Power BI to deliver reliable, business-ready datasets and analytical views.
Monitor and troubleshoot pipelines in Azure Monitor / ADF monitoring, ensuring minimal downtime and quick resolution of issues.
Collaborate with business teams to understand requirements and deliver optimized SQL queries, views, and stored procedures for reporting and analytics.
Implement best practices in data security, performance tuning, and resource utilization to ensure efficiency and scalability.

Python (Programming Language)SQLData EngineeringAzure Data Factory

Dataeaze systems

Senior Data Engineer

Dec 2024 – Jun 2025 · 6 mos · Pune District, Maharashtra, India · On-site

On site: Mahindra and Mahindra Fininacial services
Design, monitor, and optimize Azure Data Factory (ADF) pipelines to ensure seamless and efficient data migration across different environments.
Convert and optimize legacy SQL Server Management Studio (SSMS) code into PySpark and Spark SQL in Databricks, improving processing efficiency and scalability.
Implement data transformation using PySpark to ensure data quality, consistency, and compliance with business rules.
Perform data validation and sanity checks to ensure dataset accuracy, addressing fill rate issues, duplicates, and anomalies.
Build, manage, and optimize Delta tables in Databricks, ensuring efficient data storage, ACID transactions, and fast querying.
Create and manage Views and Tables in Databricks to enable seamless integration with Power BI for generating business reports that support data-driven decision-making.
Optimize and tune Spark jobs to enhance performance, reduce processing time, and minimize cluster resource utilization.

Azure Data FactoryAzure DatabricksData EngineeringData Migration

Vyra tech solutions pvt ltd

Data Engineer

Jan 2023 – Dec 2024 · 1 yr 11 mos · Hyderabad, Telangana, India · On-site

On site: Amzor Healthcare
Design and Develop ETL Pipelines optimize, and manage data pipelines for extracting,
transforming, and loading healthcare data from various sources (claims, patient records,
insurance data).
Data Integration: Integrate data from multiple healthcare systems (Electronic Health Records,
insurance claims, clinical systems.) into data warehouse (Snowflake).
Data Cleansing and Transformation: Cleanse and standardize data, ensuring consistency across
different formats such as JSON, CSV, and Parquet.

Extract, Transform, Load (ETL)Data EngineeringData Warehousing