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I'm Rama Krishna Kandimalla, a data engineer with over 2.5 years of hands-on experience building scalable data pipelines using Azure Data Factory, Databricks, and PySpark. I design and optimize lakehouse architectures (Bronze-Silver-Gold), implement real-time data cleansing, and develop ML pipelines to deliver data-driven recommendations. I enjoy turning complex data into practical insights that empower teams to move faster. Based in Ajax, Ontario, I collaborate with cross-functional teams across cloud, DevOps, and BI to deliver production-grade data solutions. I’ve worked with Microsoft Fabric components, Delta Lake, and MSBI tools, and I’m passionate about automation, governance, and continuous improvement to improve data quality and operational reliability.…I'm Rama Krishna Kandimalla, a data engineer with over 2.5 years of hands-on experience building scalable data pipelines using Azure Data Factory, Databricks, and PySpark. I design and optimize lakehouse architectures (Bronze-Silver-Gold), implement real-time data cleansing, and develop ML pipelines to deliver data-driven recommendations. I enjoy turning complex data into practical insights that empower teams to move faster. Based in Ajax, Ontario, I collaborate with cross-functional teams across cloud, DevOps, and BI to deliver production-grade data solutions. I’ve worked with Microsoft Fabric components, Delta Lake, and MSBI tools, and I’m passionate about automation, governance, and continuous improvement to improve data quality and operational reliability.

Rama Krishna Kandimalla

Data Analyst, Data Scientist, Full Stack Developer, +2

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I'm Rama Krishna Kandimalla, a data engineer with over 2.5 years of hands-on experience building scalable data pipelines using Azure Data Factory, Databricks, and PySpark. I design and optimize lakehouse architectures (Bronze-Silver-Gold), implement real-time data cleansing, and develop ML pipelines to deliver data-driven recommendations. I enjoy turning complex data into practical insights that empower teams to move faster. Based in Ajax, Ontario, I collaborate with cross-functional teams across cloud, DevOps, and BI to deliver production-grade data solutions. I’ve worked with Microsoft Fabric components, Delta Lake, and MSBI tools, and I’m passionate about automation, governance, and continuous improvement to improve data quality and operational reliability.…I'm Rama Krishna Kandimalla, a data engineer with over 2.5 years of hands-on experience building scalable data pipelines using Azure Data Factory, Databricks, and PySpark. I design and optimize lakehouse architectures (Bronze-Silver-Gold), implement real-time data cleansing, and develop ML pipelines to deliver data-driven recommendations. I enjoy turning complex data into practical insights that empower teams to move faster. Based in Ajax, Ontario, I collaborate with cross-functional teams across cloud, DevOps, and BI to deliver production-grade data solutions. I’ve worked with Microsoft Fabric components, Delta Lake, and MSBI tools, and I’m passionate about automation, governance, and continuous improvement to improve data quality and operational reliability.

Available to hire

I’m Rama Krishna Kandimalla, a data engineer with over 2.5 years of hands-on experience building scalable data pipelines using Azure Data Factory, Databricks, and PySpark. I design and optimize lakehouse architectures (Bronze-Silver-Gold), implement real-time data cleansing, and develop ML pipelines to deliver data-driven recommendations. I enjoy turning complex data into practical insights that empower teams to move faster.

Based in Ajax, Ontario, I collaborate with cross-functional teams across cloud, DevOps, and BI to deliver production-grade data solutions. I’ve worked with Microsoft Fabric components, Delta Lake, and MSBI tools, and I’m passionate about automation, governance, and continuous improvement to improve data quality and operational reliability.

Skills

Python

SQL

Power BI

Experience Level

Python

Expert

SQL

Expert

Power BI

Expert

Work Experience

Data Engineer at Nokia, Canada (Remote)

August 1, 2025 - August 1, 2025

Engineered end-to-end data pipelines using Azure Data Factory and Databricks to ingest, transform, and load large-scale structured and semi-structured data. Architected a modern Lakehouse solution with Microsoft Fabric, enabling integrated ingestion, modeling, and real-time reporting across departments. Spearheaded real-time PySpark pipelines in Databricks, converting raw feeds into refined Delta Live Tables to boost analytical throughput. Integrated SharePoint, Power Automate, and Azure Blob Storage to automate document processing and route data into SQL Server via ADF pipelines. Designed and implemented Master Data Management pipelines to cleanse and consolidate customer and product data from multiple source systems. Implemented Unity Catalog for fine-grained data access and governance. Configured real-time failure alerts using Logic Apps and Azure Monitor to speed up incident resolution and minimize downtime. Collaborated with DevOps to maintain CI/CD pipelines using Azure DevOps an

Data Analyst/Data Engineer at EduRun Group, India

October 1, 2023 - October 1, 2023

Designed and implemented scalable ETL pipelines using Azure Data Factory to extract data from on-premises SQL Server and flat file systems into Azure SQL Database, improving accessibility for downstream analytics and reporting. Built modular and parameterized Data Flows and ETL workflows using SSIS and ADF components; automated daily/weekly/monthly data workflows via SQL Server Agent. Developed T-SQL/PL-SQL procedures, views, and UDFs to encode business logic; created parameterized SSIS packages for dynamic deployments. Implemented real-time streaming ingestion with Azure Event Hub and Kafka, and orchestrated transformations in Databricks. Built Power BI dashboards to monitor ETL health, ingestion accuracy, and data freshness. Led data modeling using star/snowflake schemas and Medallion architecture; established CI/CD in Azure DevOps; leveraged Unity Catalog for data governance; configured monitoring via Azure Monitor and Logic Apps.