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Pratichi Singh

SQL & Power BI Developer | DAX • ETL • Oracle • PostgreSQL • ADF | Microsoft Certified PL-300 & DP-900 | PwC India

Delhi

7+ years of work experience

PwC
Jul 20233 yrs 1 moPresent

Noida

At PwC India, I develop and deliver data and BI solutions for Banking and Financial Services clients — spanning Power BI dashboards, ETL pipelines, database development, and workflow automation. Key Contributions: ▸ Designed and developed Power BI reports and dashboards using advanced DAX (aggregate, date, logical, string, and table calculations) and Power Query for data cleaning and transformation, enabling self-service analytics for business stakeholders. ▸ Validated data accuracy and report integrity across Power BI solutions through systematic testing and reconciliation against source systems, ensuring trustworthy reporting outputs. ▸ Implemented Row Level Security (RLS) by defining role-based constraints within Power BI, ensuring data access governance and compliance across client dashboards. ▸ Developed and optimized complex SQL and PL/SQL queries using joins, subqueries, CTEs, and analytical/window functions across Oracle 21c, PostgreSQL, and MS SQL Server to support reporting and business decisions. ▸ Designed and implemented end-to-end ETL pipelines using SSIS and Azure Data Factory (ADF) for large-scale data extraction, transformation, validation, and loading across structured and semi-structured sources. ▸ Executed data migration from legacy banking systems to Oracle 21c and PostgreSQL, implementing delta sync logic and validation scripts to ensure 100% data accuracy and referential integrity post-migration. ▸ Optimized database and report performance through query tuning, indexing strategies, execution plan analysis, and bulk processing, reducing average query response times. ▸ Automated 10+ recurring reporting and business processes using DBMS Scheduler and Power Automate, significantly reducing manual effort and improving operational efficiency across client environments. Tech Stack: Power BI | DAX | Power Query | Oracle 21c | PostgreSQL | MS SQL Server | PL/SQL | SSIS | Azure Data Factory | Python | Power Automate
KiiT University
May 20194 yrs 1 moMay 2023

Odisha, India

B.Tech in Computer Science & Communication Engineering, CGPA: 8.65
EPIKInDiFi
Jan 20224 mosApr 2022

Technology internship at EPIKInDiFi, a fintech-focused organization, gaining early hands-on exposure to data and technology workflows. ▸ Assisted in data collection, cleaning, and basic analysis tasks supporting the technology team. ▸ Developed foundational skills in SQL and data handling in a professional environment. ▸ Gained exposure to fintech data workflows and business processes.
KPMG
Sep 20211 moSep 2021

Short-term data analytics internship with KPMG India, gaining exposure to how a Big 4 professional services firm approaches data analysis, reporting, and client delivery. ▸ Gained foundational exposure to data analysis workflows and reporting practices in a professional services environment. ▸ Developed understanding of structured problem-solving and data-driven decision-making frameworks used in client engagements. ▸ Built early familiarity with Excel-based analysis and data presentation for business stakeholders.

Education

Kalinga Institute of Industrial Technology, Bhubaneswar

B.Tech, Computer Science and Communication Engineering

Kalinga Institute of Industrial Technology, Bhubaneswar

20194 yrs2023
Sri Chaitanya College of Education

Class 11-12, CBSE

Sri Chaitanya College of Education

20172 yrs2019

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Headline

SQL & Power BI Developer | DAX • ETL • Oracle • PostgreSQL • ADF | Microsoft Certified PL-300 & DP-900 | PwC India

About

I build data pipelines, dashboards, and database solutions that turn messy enterprise data into decisions. 3 years at PwC India — Banking and Financial Services — where I've shipped Power BI dashboards with advanced DAX and Power Query, built and optimized ETL pipelines using SSIS and Azure Data Factory, designed Oracle 21c and PostgreSQL schemas, and migrated large-scale data from legacy systems to modern platforms. What I build: → Power BI reports and dashboards (DAX, Power Query, RLS, Data Gateway) → ETL/ELT pipelines (SSIS, ADF, Python) → Database objects: stored procedures, functions, triggers, views (Oracle, PostgreSQL, SQL Server) → SQL-optimized data models for BI consumption (star schema, CTEs, window functions) → Automated workflows (DBMS Scheduler, Power Automate) Certified: Microsoft Power BI Data Analyst (PL-300) | Azure Data Fundamentals (DP-900) Domain: Banking & Financial Services | 3 years PwC India Open to: Power BI Developer | SQL/Data Engineer | ETL Developer | BI Analyst 📍 Delhi NCR | Open to PAN INDIA, Remote and On-site

Location

Delhi

Work experience

Technology Specialist | Power BI Developer & Database Engineer at PwC, Jul 2023 - Present · 3 yrs 1 mo, Noida, At PwC India, I develop and deliver data and BI solutions for Banking and Financial Services clients — spanning Power BI dashboards, ETL pipelines, database development, and workflow automation. Key Contributions: ▸ Designed and developed Power BI reports and dashboards using advanced DAX (aggregate, date, logical, string, and table calculations) and Power Query for data cleaning and transformation, enabling self-service analytics for business stakeholders. ▸ Validated data accuracy and report integrity across Power BI solutions through systematic testing and reconciliation against source systems, ensuring trustworthy reporting outputs. ▸ Implemented Row Level Security (RLS) by defining role-based constraints within Power BI, ensuring data access governance and compliance across client dashboards. ▸ Developed and optimized complex SQL and PL/SQL queries using joins, subqueries, CTEs, and analytical/window functions across Oracle 21c, PostgreSQL, and MS SQL Server to support reporting and business decisions. ▸ Designed and implemented end-to-end ETL pipelines using SSIS and Azure Data Factory (ADF) for large-scale data extraction, transformation, validation, and loading across structured and semi-structured sources. ▸ Executed data migration from legacy banking systems to Oracle 21c and PostgreSQL, implementing delta sync logic and validation scripts to ensure 100% data accuracy and referential integrity post-migration. ▸ Optimized database and report performance through query tuning, indexing strategies, execution plan analysis, and bulk processing, reducing average query response times. ▸ Automated 10+ recurring reporting and business processes using DBMS Scheduler and Power Automate, significantly reducing manual effort and improving operational efficiency across client environments. Tech Stack: Power BI | DAX | Power Query | Oracle 21c | PostgreSQL | MS SQL Server | PL/SQL | SSIS | Azure Data Factory | Python | Power Automate

Graduate Student at KiiT University, May 2019 - May 2023 · 4 yrs 1 mo, Odisha, India, B.Tech in Computer Science & Communication Engineering, CGPA: 8.65

Internship Trainee|Data/Technology Intern at EPIKInDiFi, Jan 2022 - Apr 2022 · 4 mos, Technology internship at EPIKInDiFi, a fintech-focused organization, gaining early hands-on exposure to data and technology workflows. ▸ Assisted in data collection, cleaning, and basic analysis tasks supporting the technology team. ▸ Developed foundational skills in SQL and data handling in a professional environment. ▸ Gained exposure to fintech data workflows and business processes.

Student Intern|Data Analytics Intern at KPMG, Sep 2021 - Sep 2021 · 1 mo, Short-term data analytics internship with KPMG India, gaining exposure to how a Big 4 professional services firm approaches data analysis, reporting, and client delivery. ▸ Gained foundational exposure to data analysis workflows and reporting practices in a professional services environment. ▸ Developed understanding of structured problem-solving and data-driven decision-making frameworks used in client engagements. ▸ Built early familiarity with Excel-based analysis and data presentation for business stakeholders.

Education

B.Tech, Computer Science and Communication Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar

Class 11-12, CBSE, Sri Chaitanya College of Education