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Data Engineer with 3+ years in ETL, Analytics & Cloud Platforms
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Assessing your cultural and operational fit
DP – 700 Certified Microsoft Fabric Data Engineer Associate with experience in ETL pipeline development, data engineering, analytics, and reporting using Microsoft Fabric, Azure Synapse, SQL, PySpark, Python, and Power BI. Skilled in developing scalable data workflows, implementing Medallion Architecture, and creating business insights through dashboards and reporting. Strong analytical, problem-solving, and continuous learning mindset.
United Institute of Technology, Coimbatore
Bachelor of Engineering · Mechanical Engineering
August 1, 2018 – June 30, 2022
Kanini Software Solutions India Private Limited
Data Engineer Intern
October 1, 2025 – Present
India
Klodev
Data Engineer
February 1, 2024 – September 1, 2025
India
Mounttown Private Limited
Data Analyst
November 1, 2022 – December 1, 2023
India
AQUA GROUP
Machine Operator
July 1, 2020 – September 1, 2022
India
Aadhi Cars Private Limited
Car Technician
December 1, 2019 – June 1, 2020
India
Healthcare Patient Analytics Platform
October 1, 2025 – Present
Developed an end-to-end healthcare analytics pipeline using Microsoft Fabric by ingesting patient data from CSV files and SQL sources into OneLake. Designed and implemented Medallion Architecture (Bronze, Silver, Gold) to enable scalable, structured, and governed healthcare data processing. Performed data transformations using PySpark in Fabric Notebooks, including data cleansing, null handling, deduplication, joins, and schema validation for patient datasets. Built fact and dimension data models to support patient KPI tracking, revenue analysis, treatment analytics, and hospital operational reporting. Developed Power BI dashboards using Direct Lake mode to deliver near real-time healthcare insights, patient trends, and performance monitoring. Configured and orchestrated Fabric Data Factory pipelines with scheduling, monitoring, and error handling to ensure reliable and automated ETL workflows. Optimized data processing and reporting workflows to improve data availability, reporting consistency, and analytical readiness.
Corporate Research Analytics Platform
February 1, 2024 – September 1, 2025
Developed an end-to-end corporate analytics pipeline using Azure Synapse Analytics by ingesting client business data from CSV sources into ADLS Gen2. Designed and implemented Bronze, Silver, Gold Medallion Architecture using Synapse Pipelines and PySpark Notebooks for scalable data ingestion, transformation, and analytics processing. Performed data cleansing, joins, aggregations, filtering, deduplication, and schema validation to ensure data quality and reporting accuracy. Built Star Schema data models (Fact & Dimension tables) to support corporate KPI tracking, revenue analysis, company performance monitoring, and business reporting. Developed incremental loading workflows using Synapse Pipeline triggers to enable automated weekly data refresh and optimized processing. Created interactive Power BI dashboards for revenue analytics, company benchmarking, and industry trend analysis. Configured pipeline scheduling, monitoring, logging, and error handling to ensure reliable, automated, and production-ready ETL execution.
Business Lead Intelligence Platform
November 1, 2022 – December 1, 2023
Collected and analyzed event attendee and company data from multiple sources. Identified potential business leads through company research and profiling. Performed data cleansing, validation, and lead enrichment using sales intelligence tools. Used LinkedIn Sales Navigator, Apollo.io, ZoomInfo, and ContactOut for lead generation. Executed email outreach campaigns for customer engagement and prospecting. Collaborated with sales and marketing teams to improve lead quality and performance. Built Power BI dashboards for campaign tracking and lead conversion analysis.
B2B Market Analytics & Reporting Platform
November 1, 2022 – December 1, 2023
Developed ADF pipelines to ingest data from SQL Server, CSV, and REST APIs. Loaded and validated data in SQL staging tables for reporting. Performed data cleansing and transformations using SQL. Built Power BI dashboards for lead tracking and campaign analytics. Supported scheduled refresh workflows using ADF triggers. Verified data quality and reporting accuracy. Collaborated with sales and marketing teams for reporting insights.
Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Microsoft
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience demonstrates a focus on business analytics and reporting across different domains (healthcare, corporate research, sales analytics, market research), indicating adaptability and a broad understanding of business needs. The progression from Data Analyst to Data Engineer roles shows a clear career trajectory towards the target role. The diverse project portfolio and the pursuit of relevant certifications suggest a proactive and growth-oriented individual, which generally aligns well with a positive cultural fit. However, the non-technical prior work experience (Machine Operator, Car Technician) might indicate a non-traditional path into tech, which could be a strength in terms of diverse perspectives but also means less direct professional experience in a corporate tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with sales and marketing teams, suggesting an ability to work cross-functionally. The professional summary mentions a 'strong analytical, problem-solving, and continuous learning mindset,' which aligns with operational fit for a dynamic data engineering role. However, without direct assessment data, these are inferred from self-reported project details.