Bala Yeruva
Azure Data Engineer
Guntur
Summary
Highly motivated Data Engineer with 4 years of experience specializing in Azure-based data engineering and Business Intelligence solutions. Proven expertise in building scalable data pipelines and integration frameworks using Azure Data Factory, ADLS Gen2, Databricks, Azure SQL Database, and Azure Synapse. Strong command of SQL and ETL development, with hands-on experience in transforming complex datasets into meaningful insights. Skilled in developing interactive Power BI dashboards that support strategic, data-driven decision-making.
Overview
4
4
years of professional experience
4
4
Certifications
Work History
Azure Data Engineer
Freelance
Remote
01.2025 - Current
- Worked closely with business stakeholders to understand functional requirements and translate them into scalable, cloud-based data solutions using Azure services.
- Designed and developed robust data pipelines using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Gen2, and Azure Key Vault to support efficient data ingestion and transformation.
- Extracted data from multiple sources including REST APIs, CSV files, and relational databases; performed data cleansing and transformations using Azure Data Factory and Databricks (PySpark and SQL); and loaded validated data into cloud storage platforms while ensuring data quality and accuracy.
- Implemented version control and CI/CD pipelines to support collaborative development and reliable deployment of data engineering solutions.
- Performed unit testing and validation checks to deliver stable, defect-free code and reliable data pipelines.
- Actively participated in sprint planning and daily stand-up meetings, providing regular updates on progress and risks.
- Collaborated with Business Analysts to clarify requirements and address data-related questions during project discussions.
- Identified opportunities to improve existing data processes and implemented enhancements to increase system efficiency and reliability.
Data Engineer
Raymond James
Toronto
11.2023 - 11.2024
- Designed and implemented end-to-end ETL solutions to extract, transform, and load data from multiple source systems into Azure Data Storage platforms using Azure Data Factory.
- Enabled data ingestion across Azure services including Azure Data Lake, Azure Storage, Azure SQL Database, and Azure Synapse Analytics, with large-scale data processing performed in Azure Databricks.
- Built, configured, and maintained automated Azure Data Factory pipelines using Linked Services, Datasets, and Triggers to integrate data from diverse sources and ensure reliable data movement.
- Developed and optimized Spark-based data transformations using PySpark and Spark SQL in Databricks to cleanse, aggregate, and analyze structured and semi-structured datasets, supporting customer usage analytics.
- Wrote and optimized SQL queries to deliver performant, scalable data solutions aligned with business and technical requirements.
- Worked closely with business stakeholders to gather requirements, analyze data challenges, and escalate critical issues to leadership when needed.
- Collaborated with reporting and analytics teams to deliver curated, analytics-ready datasets that supported informed decision-making.
- Used Azure DevOps for version control and to implement CI/CD pipelines, improving deployment consistency and development efficiency.
- Implemented unit testing and validation checks within Azure Data Factory pipelines to ensure data accuracy, reliability, and quality throughout ETL processes.
- Developed centralized datasets inside Power BI workspace and designed Power BI dashboards and implemented Row Level Security(RLS).
Associate - Azure Data Engineer
Canadian Tire Corportation
Toronto
02.2022 - 08.2023
- Played a key role in migrating data from on-premises SQL Server systems to Azure SQL Data Warehouse, using Azure Data Factory(ADF) and Azure Data Lake to ensure a reliable and seamless transition.
- Implemented and managed Self-Hosted Integration Runtime in Azure Data Factory to securely extract and load data from on-premises sources into Azure storage, improving data movement efficiency.
- Performed data cleansing, enrichment, and aggregation using Azure Data Flows to improve data quality and deliver well-structured datasets for reporting(Power BI) and analytics.
- Worked closely with business stakeholders and cross-functional teams to understand requirements and translate them into effective data solutions.
- Utilized GitHub for version control, ensuring smooth code promotion across development, testing, and production environments.
- Ensured data accuracy and consistency across internal and client-facing systems by identifying and resolving data gaps.
- Created and deployed stored procedures in the Azure environment, scheduling and monitoring produced and consumed datasets in ADF.
Education
Master of Science - Embedded Systems Development
Conestoga College
Cambridge, Canada 04.2001 -
Bachelor of Science - Electronics And Communications Engineering
Universal College of Engineering And Technology
Guntur, India 04.2001 -
Skills
Programming Languages: Python, SQL, PySpark(Databricks) ,DAX
Big Data Technologies: Apache Spark, Azure Databricks, Delta Lake
Azure Services: Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse Analytics, Key Vault, Azure Storage, Logic Apps, Data Explorer, Azure SQL Databases
Databases: T-SQL, Snowflake, Azure SQL, Snowflake
BI Reporting: Power BI, Power BI Paginated Reports
DevOps & CI/CD: Azure DevOps, GitHub
Operating Systems: Windows, Unix
Certification
Microsoft Power BI Data Analyst (PL -300)
Core Competencies
• Data/Cloud Data Engineering
• Azure Data Factory
• Azure Databricks
• PySpark
• SQL Development
• Python Programming
• ETL Processes
• Azure Synapse Analytics
• Azure Storage Services
• Cloud-based Data Solutions
• Microsoft Fabric
Timeline
Azure Data Engineer
Freelance
01.2025 - Current
Data Engineer
Raymond James
11.2023 - 11.2024
Associate - Azure Data Engineer
Canadian Tire Corportation
02.2022 - 08.2023
Master of Science - Embedded Systems Development
Conestoga College
04.2001 -
Bachelor of Science - Electronics And Communications Engineering
Universal College of Engineering And Technology
04.2001 -