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Data Engineer with 1+ years in ETL/ELT pipelines & Data Warehousing
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 1 year of experience designing and maintaining cloud-based ETL/ELT pipelines using Azure (ADF) and building scalable data warehousing solutions on Snowflake. Skilled in Python, SQL, and PySpark with strong experience in data modeling, performance tuning, and production-grade pipeline development.
Dr. D. Y. Patil Institute of Management and Research
Master of Computer Application (MCA)
August 1, 2023 – June 30, 2025
Savitribai Phule Pune University
Bachelor of Business Administration (BBA)
August 1, 2020 – June 30, 2023
64 Squares LLC
Data Engineer
July 1, 2024 – August 1, 2025
Pune, Maharashtra, India
Azure-Based COVID Analytics
June 1, 2026 – Present
Integrated real-time COVID-19 data from ECDC and population data from Azure Blob Storage into Azure Data Lake Storage Gen2 using Azure Data Factory. Developed scalable ETL pipelines using Mapping Data Flows and Python scripts to clean, transform, and combine data into analytics-ready format. Stored transformed data in Azure SQL Database and modeled it for downstream analytics and reporting. Published curated datasets to Power BI to create interactive dashboards highlighting COVID-19 trends and population impacts.
View ProjectSnowPro Core Certification
Snowflake
June 1, 2026 – Present
Java Programming - IIT Bombay (Spoken Tutorial)
IIT Bombay
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with cloud-based data engineering tools (Azure, Snowflake) and diverse projects (COVID analytics) suggests adaptability and a willingness to learn new technologies. The combination of a BBA and MCA degrees, along with certifications, indicates a structured approach to learning and professional development. The role at 64 Squares LLC aligns well with a Data Engineer position, demonstrating direct relevance to the target role.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on ensuring pipeline uptime and improving decision-making efficiency, suggesting an operational mindset and attention to reliability. The project descriptions are clear, implying good communication skills in documenting technical work.