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Data Engineer with 2+ years in ETL pipelines, Python & Azure.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Microsoft Certified Fabric Data Engineer Associate with 2+ years of experience designing and building scalable ETL/ELT pipelines, data architectures, and automation workflows. Proficient in Python, SQL, and cloud services (Azure), with hands-on experience in PySpark, FastAPI, and machine learning. Strong problem-solving and analytical skills collaborative team player with a track record of delivering reliable, high-performance data solutions in production environments.
CDAC, Pune
PG Diploma · Big Data Analytics
August 1, 2024 – June 30, 2024
Shri Shankaracharya Technical Campus, Bhilai
Bachelor of Technology
August 1, 2018 – June 30, 2022
Interbiz
Data Engineer
September 1, 2025 – Present
Raipur, Chhattisgarh, India
Oorjaa
Software Developer
November 1, 2024 – August 1, 2025
Pune, Maharashtra, India
Teleperformance
Technical Support
October 1, 2023 – March 1, 2024
Jaipur, Rajasthan, India
ETL Data Migration Pipeline
August 1, 2025 – Present
Designed and implemented a scalable end-to-end ETL pipeline to migrate live production data from Source 2.0 health organization systems to Destination 3.0 parent healthcare platform. Utilized PySpark, SQL, Azure Functions, and Azure Logic Apps to perform data extraction, transformation, orchestration, and delivery. Enabled incremental data propagation, ensuring only new or changed records are pushed to downstream systems. Ensured data integrity, consistency, and auditability across the pipeline. Optimized the pipeline to efficiently handle large, continuously growing datasets. Automated daily scheduled executions to support ongoing production data synchronization.
View ProjectDynamic Pricing System
February 1, 2025 – Present
Designed and implemented a dynamic pricing system to automatically adjust product prices based on various factors such as demand, competitor pricing, and seasonality. Employed Python and machine learning libraries (Scikit-learn) to build predictive models for demand forecasting. Utilized Python for backend logic and data processing, Postgres for efficient data storage and appscript for retrieval, and implemented RESTful APIs using FastAPI for seamless integration with frontend interfaces. Integrated the pricing engine with a PostgreSQL database for storing product and pricing data and utilized Airflow for scheduling and managing the data pipelines. Implementation of Dynamic pricing system lead to increase in gross margin upto 2-5%.
Microsoft DP-700 Fabric Data Engineer Associate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from an ETL data migration pipeline to a dynamic pricing system, shows adaptability and a broad interest in data-driven solutions. The experience in both professional and personal projects, coupled with a PG Diploma in Big Data Analytics, aligns well with a culture that values continuous learning and practical application. The target role of Data Engineer is a direct match for the candidate's experience and stated skills.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving and analytical skills, along with being a collaborative team player. Experience in technical support suggests client relationship management and data quality focus, which are beneficial for operational roles. The project descriptions indicate an ability to deliver reliable, high-performance data solutions in production environments.