Pradeesh M

Data Engineer with 4 years of progressive experience building and automating cloud data pipelines on Microsoft Azure. Specializes in Azure Data Factory, Snowflake, and SQL Server, with hands-on exposure to Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and PySpark alongside a strong foundation in Power Platform, DevOps CI/CD, and Databricks. Proven track record of optimizing query performance and reducing compute costs, building end-to-end data pipelines from ingestion through reporting, and informally leading a team of 4-5 engineers.

Certified in Power Platform (PL-900, PL-400) and Databricks. Looking to bring cross-functional data engineering expertise to an Azure-focused role.

Data Engineer (previously Jr. Software Developer and Intern) at Bi3 Technologies (2022-07 – Present)

Career progression: Intern, Jr. Software Developer (Jul 2022 – Jun 2023) → Data Engineer (Jun 2023 – Present).

Data Engineer at Bi3 Technologies (2023-06 – Present)

Sydney Airport – Finance & Corporate Data Platform (Safety & Contractor Compliance)

• Designed and maintained end-to-end ETL data pipelines using Azure Data Factory, Logic Apps, Azure Functions, and API Management to ingest safety, contractor check-in/check-out, and finance and corporate data from SFTP, Event Hubs, Stream Jobs and SQL Server sources into Snowflake and SQL Server.
• Developed automated data workflows with scheduled ADF triggers, supporting reliable ingestion, transformation, processing, and delivery of safety and contractor compliance data for downstream analytics and reporting.
• Implemented a layered data architecture across source/staging, processing, and presentation layers, improving organization and maintainability of finance and corporate data workflows.
• Performed data transformation, cleansing, enrichment, and preparation of contractor check-in/check-out records and safety data for downstream reporting and analytics use cases.
• Worked extensively with SQL and Snowflake to develop data processing logic, views, and reporting datasets covering safety, contractor, and finance data.
• Optimized SQL Server workloads through table partitioning and indexing strategies, measurably improving query performance and reducing processing time and cloud compute consumption.
• Developed orchestration frameworks to materialize and physicalize views, improving presentation-layer reliability and query performance.
• Investigated and resolved data pipeline and processing issues, supporting reliable production data delivery for safety and contractor systems.
• Developed Power BI and SSRS reporting solutions for operational analytics, including contractor check-in/check-out volumes, safety data metrics, finance and corporate reporting, and data in/out enhancement tracking.
• Collaborated with technical and business stakeholders to translate reporting requirements into data pipelines and analytical datasets.
• Informally led and mentored a team of 4–5 engineers, supporting technical implementation, delivery coordination, and junior engineer development.

Data Engineer at Bi3 Technologies (2023-06 – Present)

Infrastructure Australia (IA) – Full-Stack Web & Cloud Development

• Worked across frontend and backend development, building the web application UI in ReactJS and backend services using Azure Functions App (Python).
• Used Azure services to host and serve the web application, ensuring reliable availability alongside backend Function App integrations.
• Built CI/CD pipelines using Azure DevOps for Function App and Web App development, automating code push to Azure Repos and triggering deployment pipelines on every code change.
• Extended deployment automation practices across multiple services for the client engagement, improving release consistency and reducing manual deployment effort.
• Earned Databricks Certified Associate certification during this engagement.

B.E in Mechanical Engineering – Kongu Engineering College (2019 – 2023)