Arnav Laturkar
@arnavlaturkar
Power BI Analyst | Finance Reporting, DAX, SQL, AWS | ASU MS IT | AWS & Power BI Certified
What I'm looking for
Power BI Analyst with 1.5 years of contract experience supporting financial reporting and dashboard development for U.S.-based clients in lending and financial services. Worked on forecast vs actual tracking, profitability analysis, and cost center reporting using Power BI, DAX,Excel, and SQL. Delivered dashboards for finance and FP&A teams to support monthly variance analysis and performance reviews. Alsocontributed to a data migration project involving AWS Glue, S3, and Redshift.Internships included work on health data reporting and cloud-based ETL validation.
Experience
Work history, roles, and key accomplishments
Power BI Analyst
Pioneer Consulting Firm LLC
Jan 2024 - Present (1 year 8 months)
Built Power BI dashboards for department-level forecast vs actual and variance tracking, reducing manual effort by 40%. Created DAX measures for YoY trends, rolling variance %, and cost overrun tracking.
Technical Analyst
Guddge LLC
May 2023 - Aug 2023 (3 months)
Contributed to ETL pipeline migration from on-prem SQL to AWS Redshift using Glue and S3 consisting of 10 TB operational data. Supported schema mapping and validation using SQL queries to ensure 95%+ data migration accuracy.
Analyst
Pranam Creative Solutions Pvt. Ltd
Feb 2021 - Jun 2021 (4 months)
Built Python + Dash tool to visualize patient KPIs using Pandas and SQL in near real-time. Automated Excel reports with macros, saving ~4 hours/day of manual data entry and formatting.
Education
Degrees, certifications, and relevant coursework
Arizona State University
Master of Science, Information Technology
2022 - 2024
Grade: 4.00 out of 4.00
Completed a Master of Science in Information Technology, achieving a perfect GPA of 4.00 out of 4.00. This program enhanced my skills in various IT domains.
Nagpur University
Bachelor of Engineering, Computer Science Engineering
2018 - 2022
Grade: 3.71 out of 4.00
Earned a Bachelor of Engineering in Computer Science Engineering with a GPA of 3.71 out of 4.00. This foundational degree provided a strong understanding of computer science principles.
Tech stack
Software and tools used professionally
Amazon Redshift
AWS Glue
Amazon Quicksight
Microsoft SSRS
Bokeh
AWS IAM
Amazon EC2
Amazon S3
GitLab
AWS CodePipeline
Pandas
MySQL WorkBench
MySQL
PostgreSQL
Microsoft SQL Server
Microsoft SharePoint
Gmail
AWS CloudFormation
AWS Cloud Development Kit
Jira
Python
PowerShell
scikit-learn
AWS Lambda
Amazon RDS
Docker
s3-lambda
Amazon Web Services (AWS)
Microsoft Power BI
SQL
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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