Mitalee Soni

Data Engineer

Pune, Maharashtra, India2 yrs 9 mos experience

Highly Stable

Key Highlights

Developed 10+ automated Power BI dashboards.
Built ETL pipelines for 500K+ records monthly.
Identified procurement cost-saving opportunities of 12%.

Stackforce AI infers this person is a Data Engineer specializing in Business Intelligence and Data Engineering.

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Skills

Core Skills

Data EngineeringBusiness IntelligenceData Analysis

Other Skills

MySQLPython (Programming Language)Microsoft Power BIETLDAXPythonBusiness ResearchDeep LearningTensorFlowScikit-LearnNumPyPandaJupyterMachine LearningSeaborn

About

At DMC, contributed to developing over 10 automated Power BI dashboards for monitoring 25+ business KPIs, significantly reducing manual reporting efforts. Designed ETL pipelines to clean and transform datasets exceeding 500K records monthly, enabling consistent and efficient reporting for 5+ stakeholders. Delivered procurement spend analysis identifying cost-saving opportunities of up to 12%. Holds a Bachelor of Engineering degree in Electrical, Electronics, and Communications Engineering from Gyan Ganga Institute of Technology Sciences. Proficient in AWS, Deep Learning, and TensorFlow, with a commitment to transforming data into actionable insights that drive operational and strategic decisions.

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Dmc

Data Analyst

Aug 2023 – Present · 2 yrs 9 mos · Pune District · On-site

Developed 10+ automated Power BI dashboards tracking 25+ business KPIs, reducing manual reporting effort by 35%.
Built ETL pipelines to clean and transform datasets containing 500K+ records per month for analytics and reporting.
Delivered weekly and monthly analytical reports used by 5+ business stakeholders for operational decision-making.
Designed a procurement spend analysis solution covering 50+ suppliers, identifying cost-saving opportunities of up to 12%.
Optimized dataset refresh schedules and Power BI Service workflows, improving data availability SLA by 30%.
Generated predictive and trend-based insights that supported quarterly planning and performance reviews.

MySQLPython (Programming Language)Microsoft Power BIETLData EngineeringBusiness Intelligence