Data Analyst Governance

Renie Catherine Sathri(GC-EAD Holder)

Data Analyst

Boston, MA, USA M.no: 913-***-**** Email:***************@*****.*** https://www.linkedin.com/in/renie-catherine-sathri-gc-ead-holder-9183492b7/

SUMMARY

Results-driven Data Analyst with over 5 years of experience in utilizing Azure Data Factory (ADF), Azure Synapse Analytics, and Python/PySpark to process large datasets and build secure, scalable pipelines.

Expertise in transforming data, ensuring top-tier data quality, and applying data governance principles, especially for public-facing datasets.

Proficient in SQL, ETL/ELT workflows, and collaborating in Agile/Scrum environments to support data transparency initiatives.

Solid understanding of sensitive data management, including masking and encryption techniques, and working with file formats such as JSON and Parquet.

SKILLS

Data Warehousing & Databases: Programming & Analytics:

ETL & Data Integration:

Data Visualization: Cloud Technologies:

Methodologies & Tools:

Data Governance & Security:

Azure SQL Database, SQL Server, PostgreSQL, NoSQL, DynamoDB, DB2 Python (Pandas, NumPy, Matplotlib), SQL, R, SAS, MATLAB

PySpark, SSIS, Datastage, Talend, Informatica, Apache Airflow, AWS Glue

Power BI(Desktop, Service, DAX), Tableau, Advanced Excel

Azure (Data Factory, Synapse Analytics, ADLS Gen2), AWS (S3,Redshift), GCP

Agile, SAFe, Kanban, Scrum, SDLC, JIRA, Git, GitHub

Data Masking, Encryption Techniques, Data Quality, Data Validation.

WORK EXPERIENCE

Infinite Analytics, MA Business Analyst Intern Oct 2024 – Present

Partnered with cross-functional stakeholders to analyze system inefficiencies and propose process improvements, reducing reporting turnaround by 20%.

Facilitated agile ceremonies (stand-ups, backlog refinement, sprint planning) and wrote clear user stories with acceptance criteria, enabling smooth collaboration between developers and business teams.

I identified a manual reconciliation gap between CRM and ERP systems, recommended an API integration, and reduced processing time from 2 hours to 10 minutes daily.

Developed executive-level dashboards in Power BI and Excel, distilling complex KPIs into concise insights for leadership decision-making.

Proactively explored and implemented a Power Automate workflow for HR onboarding, streamlining document approvals and improving compliance tracking.

Collaborated with developers and QA to design and execute UAT test cases, ensuring new features met acceptance criteria and delivered value to end-users.

Kaplan, India Data Analyst May 2019 –Jul 2022

Analyzed credit risk data using Python, R, and SQL, reducing high-risk loan defaults by 12% and improving fraud detection accuracy to 92%.

Built interactive Power BI dashboards and integrated data from Azure SQL Database and Oracle into Azure Synapse Analytics, enabling real-time reporting and improving decision-making speed by 20%.

Developed ETL pipelines using Azure Data Factory, Python, PySpark, and DynamoDB, reducing data processing time by 60% and enhancing reporting efficiency.

Optimized data models for credit risk analysis, leveraging star schemas and ensuring data accuracy.

Integrated various data sources into Azure Data Lake Storage Gen2 (ADLS Gen2), ensuring that the pipelines were scalable and followed best practices for data privacy and security.

Developed ETL pipelines using Azure Data Factory, SQL, and PySpark, extracting data from Oracle and Azure SQL databases and transforming it into curated datasets. Also used Excel with advanced functions for quick data validation and exploratory analysis.

Dunzo, India Data Analyst Feb 2017 – Apr 2019

Built a Sales Performance Dashboard, integrating data from CRM systems, and transactional databases, improving forecasting accuracy by 25% and enabling data-driven sales strategies.

Analyzed and validated data using SQL, and Python. Implemented ETL workflows using SQL, PySpark, and Azure Data Factory, ensuring data transformation and migration into Azure Data Lake Storage

Created Power BI visualizations, delivering actionable insights, enabling better forecasting and trend analysis.

Collaborated with cross-functional teams in an Agile Scrum environment to align technical solutions with business needs, contributing to enhanced data transparency and public sector initiatives.

Ensured data quality and validation through rigorous testing and monitoring of data pipelines, applying encryption techniques to protect sensitive information.

EDUCATION

Master of Science in Computer Science in Data Science

University of Central Missouri, Warrensburg, Missouri Aug 2022 – May 2024

Bachelor of Technology in Computer Science

Vardhaman college of Engineering, India

Jul 2019

CERTIFICATIONS

AWS Certified Solutions Architect

Azure Data Engineer (DP-203)

Coursera Certified Python Programmer

Microsoft Certified Excel Specialist: Advanced Data Analysis and Visualization

RELATED EXPERIENCE

IEEE Club - Vardhaman College of Engineering

Committee Member

Hosted IEEE conference – 2018-2019

Orchestrated and directed comprehensive operations and activities for the club, overseeing a team of 15 members

Campus Ambassador – University of Central Missouri (Dec 2023 – Oct 2024)

Promoted university initiatives to prospective students, assisting with campus tours, recruitment and event marketing, increasing student enrollment by 10%.

ACADEMIC PROJECTS

Research Project- Built a live dashboard using ADVANCED EXCEL – “Best places to Live”.

SAP based Project on “Generating Sales Report Simple ALV”.

Project “Super Forecasting” using predictions, statistical analysis and data driven models.

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