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Data Engineer with 1+ years in ETL pipeline execution, database management, and Power BI validation.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data professional with hands-on experience in ETL pipeline execution, backend database management, and data validation. Proficient in SQL, Python, and ETL tools for transforming and loading data across SQL Server and Oracle systems. Experienced in developing automation frameworks using Excel VBA and validating Power BI dashboards to ensure data accuracy. Skilled in designing and executing ETL workflows in Informatica PowerCenter and performing cross-environment validation across development, QA, and production systems.
MSBTE
Diploma in Engineering
N/A – June 30, 2019
Savitribai Phule Pune University
Bachelor of Engineering (B.Ε.)
N/A – June 30, 2022
DIGTINCTIVE INDIA PVT. LTD.
ANALYST (DATA ENGINEER)
September 1, 2024 – Present
India
Automated Power BI Dashboard Data Validation Tool
September 1, 2024 – June 1, 2026
Developed an Excel VBA-based automation tool to compare SQL Server backend data with Power BI dashboard metrics. Implemented macro-driven refresh functionality to automatically retrieve backend SQL data and dashboard extracts for validation. Built validation logic using SQL queries, Pivot Tables, filters, and formulas to detect mismatches across reporting datasets. Created four validation tools for different dashboards (weekly and monthly) to streamline reporting validation processes.
Automated ETL Data Refresh & Integration Pipeline
September 1, 2024 – June 1, 2026
Managed end-to-end ETL refresh processes, including data ingestion, transformation, workflow execution, and validation. Loaded selected datasets into SQL Server staging tables using Python scripts executed through PyCharm and integrated additional datasets from Oracle databases. Developed ETL workflows in Informatica PowerCenter to transform and load staging data into reporting tables. Performed post-refresh validation and promoted validated datasets across Dev, QA, and Production environments.
Full Stack Development Course - Matrix Zero One Systems (Python, SQL, Data Analytics)
Matrix Zero One Systems
June 1, 2026 – Present
Databricks Certified Associate Developer for Apache Spark
Databricks
June 1, 2026 – Present
Advanced SQL Certification - Hacker Rank
Hacker Rank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including ETL pipeline management and data validation tool development, aligns well with a Data Engineer role. The breadth of skills across databases, ETL tools, and programming languages indicates adaptability. However, the experience level is relatively junior, which might require mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's experience in resolving ServiceNow and JIRA tickets, collaborating with BI teams, and managing end-to-end ETL processes suggests good operational fit and an ability to work within structured environments. The automation projects highlight problem-solving and efficiency-driven soft skills.