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Data Engineer with 3+ years in ETL, SQL, and Business Intelligence.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Data Engineer with 3 years of experience in developing and optimizing SQL queries, designing ETL pipelines, and leading large-scale data migration projects. Proficient in SQL, Python, SSIS, Azure Data Factory, Tableau, and Power BI. Proven ability to deliver actionable business insights, improve data quality, and enhance system performance across various database platforms for multiple global clients.
Savitribai Phule Pune University
M.Sc. · Data Science
August 1, 2020 – Present
Avendata (Futuretech Factory One)
MySQL Developer
November 1, 2024 – Present
Pune, Maharashtra, India
Mind Spark Technology
Data Analyst
June 1, 2022 – November 1, 2024
Pune, Maharashtra, India
Enterprise Data Migration & Archival Solution
June 24, 2026 – Present
Led large-scale migration and decommissioning projects involving legacy ERP, SAP, Oracle, SQL Server, and MySQL systems, successfully archiving historical business data spanning over 20 years. Developed ETL workflows using SSIS to extract, transform, cleanse, validate, and migrate data into target archival platforms. Implemented stored procedures, functions, and automated validation processes to ensure data accuracy, consistency, and compliance with legal and regulatory requirements. Optimized database performance and migration execution through indexing, query tuning, and execution plan analysis, significantly reducing migration processing time. Collaborated with business users and technical teams to perform data reconciliation, user acceptance testing (UAT), and post-migration support activities.
Job CRM System Data Analysis
June 24, 2026 – Present
Performed Exploratory Data Analysis (EDA) on large recruitment datasets using SQL and Python to identify user behavior patterns, engagement trends, and business insights. Built a Naive Bayes machine learning model using Python, Pandas, and NumPy to improve job recommendation accuracy by 18%. Developed interactive KPI dashboards using Tableau and Excel to track recruitment funnel, user engagement, and performance metrics. Extracted, cleaned, and transformed data using MySQL and SQL queries, enabling data-driven decision-making and improving engagement by 15%.
Finance Data Analysis & Reporting Dashboard
June 24, 2026 – Present
Conducted financial data analysis using SQL, Python, and Excel to evaluate ROI, risk, profitability, and market trends. Designed optimized MySQL queries for data extraction, aggregation, and reporting, reducing report generation time by 25%. Built dynamic dashboards in Tableau and Power BI to monitor financial KPIs, trends, and investment performance. Performed data cleaning, validation, and statistical analysis using Python (Pandas, NumPy) to support forecasting and strategic planning.
Cultural Fit Analysis
The candidate's project diversity, including CRM data analysis, enterprise data migration, and finance data analysis, demonstrates adaptability and a broad skill set applicable to various business domains. The experience with multiple database systems (MySQL, SQL Server, Oracle) and ETL tools (SSIS, ADF) indicates a willingness to learn and adapt to different technologies. The M.Sc. in Data Science further strengthens the cultural fit for a data-driven organization.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams and working in Agile environments, indicating good operational fit. The descriptions of leading migration projects and ensuring data accuracy suggest strong ownership and attention to detail. The ability to deliver actionable business insights points to strong analytical and problem-solving skills.