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ETL Developer with 6+ years in ETL, Databases, & Cloud Platforms
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
• Over 5.4 years of experience in IT Testing focused on Databases, and ETL. • Proficient in ETL testing using GCP, Apache Airflow, Pelican, and Informatica. • Automated regression testing with Python and Pelican for enhanced reliability and speed. • Hands-on with CRF Completion Guidelines, SAE Reconciliation, Medidata Rave, and SAS QC. • Strong SQL expertise for data integrity validation and source-to-target testing. • Experience with Power BI report validation and GCP storage solutions. • Strong in Agile, defect tracking with JIRA, and test case management using HP ALM.
Swami Vivekanand University, Sagar
B.Sc. Computers · Computers
N/A – Present
Deloitte
Software Test Engineer
June 1, 2025 – Present
India
PwC
Software Test Engineer
November 1, 2024 – April 1, 2025
India
CISCO
Software Test Engineer
November 1, 2023 – May 1, 2024
India
IQVIA
Software Test Engineer
February 1, 2022 – November 1, 2023
India
Brillio
Software Test Engineer
March 1, 2020 – February 1, 2022
India
KONE (Finland) – Qlik vs Power BI Migration & Analytics Modernization
June 22, 2026 – Present
KONE initiated an enterprise-wide Business Intelligence modernization program to migrate 25+ legacy Qlik dashboards to Power BI. The goal was to improve performance, scalability, governance, and integration with Azure Databricks and modern cloud data platforms. Qlik vs Power BI – Comparative Validation Approach • Compared Qlik associative data model with Power BI star schema/semantic model. • Validated Qlik set analysis expressions against equivalent DAX calculations in Power BI. • Analyzed differences in aggregation behavior, filter context, and drill-down functionality. • Benchmarked dashboard performance (load time, query execution time, visual rendering speed). • Compared security implementation – Qlik access rules vs Power BI Row-Level Security (RLS). • Verified scheduling and refresh mechanisms across both platforms. ETL & Data Validation • Validated Azure Databricks ETL pipelines and Delta tables. • Performed source-to-target reconciliation between Qlik extracts, Databricks tables, and Power BI datasets. • Conducted transformation logic validation and data profiling using SQL queries. • Executed incremental and full load validation scenarios. Report & Dashboard Testing • Tested visuals, slicers, filters, drill-through, bookmarks, and navigation. • Validated KPIs, measures, calculated columns, and business rules. • Performed regression testing after each migration phase. • Coordinated UAT with business stakeholders and ensured sign-off. Challenges & Solutions • Addressed differences in data modeling between Qlik’s associative model and Power BI’s relational model. • Optimized DAX queries to match Qlik performance benchmarks. • Identified data discrepancies due to filter context differences and resolved calculation mismatches. • Improved report performance by validating indexing, aggregations, and optimized measures. Project Outcome Successfully migrated 25+ dashboards from Qlik to Power BI with 100% data accuracy validation. Improved dashboard performance by approximately 30% and enhanced governance through centralized semantic models and standardized security implementation.
EDW Modernization – Verizon (US)
June 22, 2026 – Present
(Existing content omitted for brevity – can be expanded if needed)
Cultural Fit Analysis
The candidate has worked with multiple large consulting firms (Deloitte, PwC) and major clients (KONE, Verizon, Cisco, IQVIA, Brillio), indicating adaptability to diverse corporate cultures and project environments. The breadth of tools and technologies used across projects suggests a willingness to learn and apply new skills, which is positive for cultural fit. The focus on data accuracy and performance optimization aligns with a detail-oriented and results-driven mindset.
Soft Skills & Operational Fit
The candidate's project descriptions highlight experience in coordinating UAT with business stakeholders and addressing complex data discrepancies, indicating good communication and problem-solving skills. Experience with Agile methodologies and defect tracking tools like JIRA suggests an operational fit for modern development environments.