Akhila V.

Business Development Executive

United States2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Automated reporting workflows saving 20+ hours/week.
Reduced costs by 30% while maintaining high availability.
Improved data accuracy by 25% and streamlined ETL processes.

Stackforce AI infers this person is a Data Analyst specializing in SaaS and Cloud Computing with a focus on Data Engineering and Analytics.

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Skills

Core Skills

Data AnalyticsBusiness IntelligenceData EngineeringCloud Operations

Other Skills

Artificial Intelligence (AI)Microsoft ExcelPower BITableauSQLETLDevOpsAmazon Web Services (AWS)AzureAWS LambdaAzure FunctionsExtract, Transform, Load (ETL)ETL ToolsAzure Data FactorySnowflake

About

I’m a Data Analyst with a Master’s in Data Science, focused on business reporting, dashboards, and operational analytics. I help teams understand what’s happening in the business by turning raw data into clear insights for leaders and stakeholders. I build and improve reporting systems using SQL, Power BI, Excel, and Python including KPI dashboards, automated reports, and data pipelines (ETL/ELT). I also focus on data validation and data quality, so numbers are accurate and trusted. Highlights from my recent work: • Stone Grid: Automated reporting workflows with AI tools, saving 20+ hours/week, and supported improvements that contributed to a 15% productivity increase. • Accenture: Supported cloud operations and reporting, helping reduce costs by 30%, maintain 99.9% availability, and improve ticket response time by 40%. • SYMFORE: Improved data accuracy by 25%, streamlined ETL to cut analysis time by 30%, and delivered dashboards in Power BI/Tableau. I’m currently open to Data Analyst, BI Analyst, and Reporting Analyst roles where I can improve reporting, automate metrics, and support better business decisions.

Experience

2 yrs

Total Experience

1 yr

Average Tenure

Current Experience

Stoneapp by stone grid

AI & Operations reporting Analyst

Jun 2025 – Aug 2025 · 2 mos · Florida, United States · Remote

Built executive KPI dashboards in Power BI and Tableau, improving operational visibility and decision-making efficiency by 35%.
Developed automated ETL/ELT pipelines processing 5M+ records/day, cutting manual data preparation time by 70%.
Extracted, validated, and reconciled ERP/CRM data using SQL and Excel, ensuring 100% data integrity for reporting.
Partnered with cross-functional teams to optimize and migrate pipelines on AWS and Azure, improving scalability and reliability.
Integrated AI/ML models for user-behavior prediction, boosting personalized recommendation accuracy by 20%.

Artificial Intelligence (AI)Microsoft ExcelPower BITableauSQLData Analytics+1

Accenture

Cloud Operations Administration

Jun 2021 – Dec 2022 · 1 yr 6 mos · Bengaluru, Karnataka, India

Supported enterprise AWS and Azure environments (EC2, RDS, S3, VPC, IAM, AKS) and maintained 99.9% availability.
Built serverless automation using AWS Lambda and Azure Functions, reducing manual processing time by 40%.
Automated deployments and monitoring via Azure DevOps and Terraform, decreasing deployment errors by 25%.
Improved reliability and reporting through SQL + Power BI data-quality dashboards, increasing pipeline stability by 20%.

DevOpsAmazon Web Services (AWS)AzureSQLPower BICloud Operations+1

Symfore software solutions private limited

Data Analyst & Engineer

Oct 2020 – May 2021 · 7 mos · Hyderabad, Telangana, India · On-site

Built end-to-end data pipelines using Azure Data Factory and data warehousing in Snowflake/Redshift for enterprise analytics.
Optimized Snowflake performance, improving query speed by 45% and reducing storage costs by 20%.
Created Power BI dashboards for KPIs, business performance, and data quality monitoring across teams.
Implemented data validation frameworks and quality checks, achieving 99.9% accuracy across ETL processes.

Extract, Transform, Load (ETL)ETL ToolsAzure Data FactorySnowflakePower BIData Engineering+1