Chandra Mohan Amineni
Verified Expert in Engineering
Data Engineer and Developer
Dubai, United Arab Emirates
Toptal member since March 25, 2026
Chandra is a results-oriented data engineer with more than a decade of experience in building scalable ETL pipelines and analytics solutions using Azure Data Factory and Azure Databricks. He has worked across manufacturing, financial, banking, and retail domains. Chandra delivers reliable data solutions and dashboards using Power BI to support business insights and decision-making.
Portfolio
Experience
- Oracle PL/SQL - 8 years
- Azure Data Factory (ADF) - 7 years
- Azure Databricks - 7 years
- Azure Data Lake - 7 years
- Azure SQL Databases - 7 years
- PySpark - 7 years
- Azure Synapse - 5 years
- Microsoft Power BI - 2 years
Preferred Environment
Azure Databricks, Azure Data Factory (ADF), Azure Data Lake, Azure SQL Databases, Azure Synapse, Oracle 11g Forms, Microsoft Power BI, PySpark, Python 3, Oracle PL/SQL
The most amazing...
...things I've built are scalable ETL pipelines using Azure Data Factory to integrate data from multiple sources into ADLS Gen2.
Work Experience
Senior Data Engineer
TruSpeQ
- Built scalable ETL pipelines using Azure Data Factory to integrate data from multiple sources into ADLS Gen2.
- Developed optimized transformations using Azure Databricks with PySpark and SQL for large-scale data processing.
- Implemented secure, reliable pipelines with monitoring, scheduling, and secrets management using Azure Key Vault.
Senior Data Engineer
ITC Infotech USA
- Designed and built ETL pipelines using Azure Data Factory with data movement, transformation, and control flow activities to integrate data from multiple sources.
- Integrated on-premises systems via self-hosted IR and executed Azure Databricks notebooks for PySpark-based transformations, data migration, and pipeline debugging.
- Developed PySpark solutions for JSON/CSV ingestion into Delta Lake and Synapse, and enabled reporting by integrating datasets into Power BI.
Data Engineer
IBM
- Built ETL pipelines using Azure Data Factory with Linked Services, datasets, and mapping data flows to process data from multiple sources.
- Developed PySpark notebooks in Azure Databricks to transform CSV data into Delta Lake tables and perform Spark SQL-based aggregations.
- Created dashboards in Power BI with DAX, filters, and RLS to deliver secure and insightful data visualizations.
Data Engineer | Team Lead
Temenos SA
- Developed data processing solutions using Azure Databricks with PySpark and Spark SQL for validation, transformation, and aggregation of large datasets into the data warehouse.
- Built and orchestrated pipelines in Azure Data Factory, including mapping data flows, to enable scalable ETL workflows across multiple data sources.
- Designed ETL and analytics solutions using SAS, Oracle PL/SQL, and Power BI, delivering data cleaning, validation, and interactive dashboards with secure access controls.
Software Engineer
Fundtech
- Designed and developed database objects, including tables, views, indexes, procedures, functions, and packages, with exception handling and auditing triggers.
- Wrote optimized SQL queries using joins, subqueries, and correlated subqueries for efficient data retrieval and performance tuning.
- Ensured data integrity and performance through indexing, query optimization, and structured database design.
Experience
Enterprise-scale ETL Pipeline on Azure
• End-to-end Azure Data Pipeline for Enterprise Data Integration: I designed and implemented a scalable ETL solution using Azure Data Factory and Azure Databricks to ingest data from multiple sources, transform it using PySpark, and store it in Delta Lake for analytics and reporting.
• Real-time Data Processing and Analytics Platform: I developed a data processing framework in Azure Databricks using Spark SQL and PySpark to process large datasets, perform aggregations, and deliver faster insights into business operations with optimized performance.
• Business Intelligence Dashboard with Secure Data Access: I created interactive dashboards in Power BI, integrating data from Azure Synapse and SQL sources, implementing DAX measures, filters, and row-level security (RLS) to deliver secure, user-specific insights.
Education
Master's Degree in Computer Science
Jawaharlal Nehru Technological University, Anantapur - Anantapur, Andhra Pradesh, India
Bachelor's Degree in Computer Science
Sri Krishnadevaraya University - Anantapur, Andhra Pradesh, India
Skills
Libraries/APIs
PySpark
Tools
Oracle 11g Forms, Microsoft Power BI
Languages
Python 3
Platforms
Azure, Azure SQL Data Warehouse, Azure Synapse
Storage
Azure SQL, Azure SQL Databases, Oracle SQL, Oracle SQL Developer, SQL Server 2022, Oracle PL/SQL, PostgreSQL, PL/SQL Developer
Other
Azure Data Factory (ADF), Azure Databricks, Azure Data Lake, Computer Science, Delta Lake, PL/SQL Tuning
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