Data Analytics Specialist with Cloud & BI Expertise

Prit Sureshbhai Kevadiya

************@*****.*** +1-480-***-**** linkedin.com/in/prit-kevadiya

Summary

Data Analyst with over 5 years of experience successfully using data to achieve business objectives and deliver valuable insights in the telecom, manufacturing, and consulting sectors. Adept at designing scalable BI solutions, optimizing SQL-based data models, and implementing analytics workflows on Azure and AWS platforms. Proven success in creating interactive dashboards, streamlining ETL processes, and driving executive decision-making through predictive and descriptive analytics. Strong communicator skilled in collaborating with cross-functional stakeholders and delivering high-impact analytical solutions that improve efficiency, accuracy, and profitability.

Key Highlights:

&Designed and automated end-to-end reporting pipelines across on-premise and cloud ecosystems, enhancing data refresh performance and reducing manual reporting time by 40%.

&Built interactive dashboards in Power BI and Tableau that visualized financial, operational, and marketing KPIs for global stakeholders, improving transparency in business performance tracking.

&Utilized AWS S3, Glue, and Redshift to streamline data ingestion and storage for multi-client analytics engagements, ensuring high availability and data integrity.

Technical Skills

Data Analysis & Visualization: Power BI, Tableau, AWS QuickSight, Excel (Advanced Functions, Pivot Tables, Macros), Data Storytelling, Business KPIs, Dashboard Design.

Database Management & Querying: SQL Server, MySQL, PostgreSQL, Snowflake, Azure Synapse Analytics, AWS Redshift, Query Optimization, Stored Procedures.

Data Processing & ETL: Azure Data Factory, AWS Glue, SSIS, Data Modeling (Star & Snowflake Schema), Data Cleansing, Data Transformation, Workflow Automation.

Programming & Analytics: Python (pandas, numpy, matplotlib, scikit-learn), Jupyter Notebook, Statistical Analysis. Cloud Platforms: Microsoft Azure (Data Lake Storage, Synapse, Data Factory), Amazon Web Services (S3, Glue, Redshift, Lambda), Cloud Cost Optimization, IAM Access Management.

Reporting & Business Intelligence: KPI Tracking, Financial & Operational Analytics, Supply Chain Reporting, Sales Forecasting, Executive Dashboards, Ad-hoc Insights Generation.

Version Control & CI/CD: Git, GitHub Actions, Azure DevOps, Code Versioning, Deployment Automation.

Data Governance & Quality: Data Validation, Data Lineage Documentation, Master Data Management (MDM), Great Expectations Framework, Metadata Cataloging.

Methodologies & Collaboration: Agile Scrum, Sprint Planning, Cross-functional Collaboration, Stakeholder Communication, Requirement Gathering.

Other Tools & Utilities: JIRA, Confluence, VS Code.

Professional Experience

Data Analyst

Accenture

Sep 2025 – Present US

&Partnering with enterprise clients to design Power BI dashboards that consolidate financial, marketing, and sales performance indicators into executive scorecards.

&Building scalable data pipelines on AWS Glue and Redshift to integrate multiple client data sources, ensuring timely refreshes and reliable reporting.

&Implementing AWS Lambda functions for lightweight data transformations and automated report triggers, reducing manual intervention in daily reporting.

&Managing data storage and access permissions in AWS S3 to maintain secure and version-controlled data repositories for analytics teams.

&Delivering client presentations and insight reports that quantify KPIs, highlight anomalies, and propose data- driven strategies for cost and performance optimization.

Analytics Engineer

HCL India

Nov 2022 – Aug 2024 India

&Designed and maintained SQL-based data pipelines to process ERP and MES data into analytics-ready structures used for production efficiency reports.

&Developed Power BI dashboards highlighting throughput, downtime, and utilization metrics, enabling leadership to monitor operational performance across multiple plants.

&Leveraged AWS S3 for centralized storage of raw production and sensor datasets, streamlining ingestion workflows between on-premise systems and analytical layers.

&Utilized AWS Glue for data cleansing and schema cataloging, improving data consistency and traceability across supply-chain reporting environments.

&Performed time-series forecasting and trend analysis in Python to identify production bottlenecks and anticipate maintenance needs.

&Collaborating with DevOps and Data Engineering teams in Agile sprints to refine data requirements, resolve ETL defects, and align analytics outputs with client goals.

&Created monthly performance and cost-variance summaries using SQL and Power BI, presenting findings to operations and finance stakeholders.

&Leading enablement workshops on AWS QuickSight and Power BI for client business units to promote self-service analytics adoption across departments.

Associate Data Analyst

Tech Mahindra

Mar 2019 – Jan 2021 India

&Designed interactive dashboards in Power BI to track service uptime, issue resolution times, and regional call- volume patterns for various clients.

&Wrote optimized SQL queries to extract, join, and aggregate large-volume customer and service datasets, improving reporting speed by 13%.

&Conducted descriptive and trend analyses on customer satisfaction scores to identify key factors influencing Net Promoter Score (NPS).

&Built data models aligning to dimensional structures (fact and dimension tables), enabling reusable metrics across multiple reports.

&Partnered with process improvement teams to transform raw operational logs into analytical summaries for decision reviews.

&Implemented scheduled report refreshes and automated KPI updates within Power BI Service, reducing manual reporting time for client accounts.

&Presented monthly data summaries to business leads, translating statistical findings into actionable service recommendations.

&Supported migration of legacy Excel dashboards into centralized BI reports to enhance data consistency and stakeholder access.

Data Analyst - Trainee

Tech Mahindra

Jul 2018 – Feb 2019 India

&Assisted senior analysts in preparing daily performance and customer churn reports by extracting data through SQL queries and validating against CRM systems.

&Cleaned and organized structured customer datasets using Excel and basic Python scripts to support visualization and reporting workflows.

&Documented data requirements, report definitions, and change logs to maintain accuracy and traceability across analytics deliverables.

&Shadowed experienced BI developers to understand ETL logic, data relationships, and KPI formulations within enterprise reporting environments.

&Helped automate repetitive Excel-based summaries using formulas and macros, reducing manual effort in weekly reporting cycles.

&Created simple Power BI visuals under mentorship to depict service request trends and customer feedback metrics for internal stakeholders.

&Participated in internal data quality checks, ensuring source-to-report consistency and flagging anomalies for corrective actions.

Education

Master of Science in Business Analytics

Arizona State University

Bachelor of Computer Applications

LJ University

Aug 2024 – May 2025 USA

2020 – 2023 India

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