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Hello! I’m Lakshman, an Azure Data Engineer who specializes in designing end-to-end data solutions on Microsoft Azure. I bring a robust background in data architecture, cloud computing, and advanced analytics, with a track record transforming complex data landscapes into streamlined, scalable pipelines. I thrive on integrating diverse data sources to deliver cohesive, high-impact insights, using Azure Data Factory, Azure Databricks, and Azure Data Analytics to unlock value. I’m passionate about continuous improvement, automation, and delivering reliable data platforms that support informed decision-making. I enjoy collaborating across teams, driving governance, and optimizing performance and cost efficiency in data solutions.…Hello! I’m Lakshman, an Azure Data Engineer who specializes in designing end-to-end data solutions on Microsoft Azure. I bring a robust background in data architecture, cloud computing, and advanced analytics, with a track record transforming complex data landscapes into streamlined, scalable pipelines. I thrive on integrating diverse data sources to deliver cohesive, high-impact insights, using Azure Data Factory, Azure Databricks, and Azure Data Analytics to unlock value. I’m passionate about continuous improvement, automation, and delivering reliable data platforms that support informed decision-making. I enjoy collaborating across teams, driving governance, and optimizing performance and cost efficiency in data solutions.

Lakshman R

Data Analyst, Data Scientist, Developer, +2

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Hello! I’m Lakshman, an Azure Data Engineer who specializes in designing end-to-end data solutions on Microsoft Azure. I bring a robust background in data architecture, cloud computing, and advanced analytics, with a track record transforming complex data landscapes into streamlined, scalable pipelines. I thrive on integrating diverse data sources to deliver cohesive, high-impact insights, using Azure Data Factory, Azure Databricks, and Azure Data Analytics to unlock value. I’m passionate about continuous improvement, automation, and delivering reliable data platforms that support informed decision-making. I enjoy collaborating across teams, driving governance, and optimizing performance and cost efficiency in data solutions.…Hello! I’m Lakshman, an Azure Data Engineer who specializes in designing end-to-end data solutions on Microsoft Azure. I bring a robust background in data architecture, cloud computing, and advanced analytics, with a track record transforming complex data landscapes into streamlined, scalable pipelines. I thrive on integrating diverse data sources to deliver cohesive, high-impact insights, using Azure Data Factory, Azure Databricks, and Azure Data Analytics to unlock value. I’m passionate about continuous improvement, automation, and delivering reliable data platforms that support informed decision-making. I enjoy collaborating across teams, driving governance, and optimizing performance and cost efficiency in data solutions.

Available to hire

Hello! I’m Lakshman, an Azure Data Engineer who specializes in designing end-to-end data solutions on Microsoft Azure. I bring a robust background in data architecture, cloud computing, and advanced analytics, with a track record transforming complex data landscapes into streamlined, scalable pipelines. I thrive on integrating diverse data sources to deliver cohesive, high-impact insights, using Azure Data Factory, Azure Databricks, and Azure Data Analytics to unlock value.

I’m passionate about continuous improvement, automation, and delivering reliable data platforms that support informed decision-making. I enjoy collaborating across teams, driving governance, and optimizing performance and cost efficiency in data solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Azure Data Engineer at JMIR Publications Canada

October 1, 2023 - November 24, 2025

Designed and implemented robust ETL pipelines and data workflows in Azure Data Factory, Databricks, and related services. Updated documentation on ETL methodologies, data pipeline structures, and data lineage to support governance standards. Optimized data processing by refining pipelines, reducing processing time by 75% and improving data quality by 50%. Managed unstructured data in blob storage and enabled secure data access from on-premises. Updated Azure SQL Data Warehouse tables and queries to improve query efficiency; configured Databricks workspace for pipeline maintenance. Implemented data cleansing methods and contributed to data warehousing design for efficient analytics. Demonstrated commitment to continuous improvement and data governance.

Junior Data Engineer at Palo Alto Networks Canada

September 1, 2023 - September 1, 2023

Developed and maintained SQL queries and ETL packages (T-SQL/SSIS) to ingest data into the data warehouse. Created and maintained blob storage for unstructured data streamed from analytics. Documented data infrastructure, processes, and workflows to enable knowledge sharing and transparency. Designed Azure Data Factory data flows to extract, transform, and load data from On-Premises and Azure sources. Automated data pipelines and streamlined processing workflows to enhance operational efficiency. Implemented data migration practices from on-premises databases to Azure SQL Database with transformations in ADF. Managed integration runtime and Key Vault connections for secure ETL operations.

Associate Engineer at Vanguard Canada

July 1, 2021 - July 1, 2021

Gained proficiency in data management and statistical data collection methods. Worked with SQL, data entry processes, and research data using SQL/Google tools. Assisted in preparing performance reports and documented data infrastructure and workflows for transparency. Engaged in designing data flows in Azure Data Factory, applying transformation techniques to extract, transform, and load data. Automated manual processes and ETL jobs to improve efficiency and reduce manual intervention. Involved in data migration activities from On-Premises sources to Azure SQL Database and supported in Azure Data Factory transformations.