About Mittu
I help businesses turn raw data into actionable insights fast. With 3+ years of experience in building scalable ETL pipelines, designing intuitive dashboards, and optimizing cloud-based data workflows, I bring both technical depth and business clarity to every project.
What sets me apart? A strong foundation in healthcare analytics, hands-on expertise with tools like DBT, Power BI, and Azure Data Factory, and a methodical approach to solving complex data challenges. I’ve worked with global teams, led data migration efforts, and built fraud detection models that saved time and money.
Typical projects I handle:
- End-to-end data pipeline development (SQL, Python, Azure)
- BI dashboard creation and reporting automation (Power BI, Excel)
- Cloud data integration (Snowflake, Azure Synapse)
- Data modeling and documentation (DBT, ERD tools)
- Healthcare analytics and compliance reporting
Let’s connect if you need a reliable data partner who can deliver clean, insightful, and scalable solutions in English or German.
English
Native or bilingual
Can work on-site
Mainz (up to 50km), Frankfurt am Main (up to 50km)
Experience
- Innovaccer Analytics,Data AnalystDIGITAL AND ITOctober 2021 - July 2023 (1 year and 9 months)India• Designed, developed, and deployed 180+ ETL pipelines (SQL & Python) to integrate claims, EMR, and attribution data, orchestrating ingestion from client servers → AWS S3 → Snowflake → PostgreSQL.• Ensured schema alignment and data quality by implementing validation checks during the ETL phase and applied DBT models for structured data modeling (star and snowflake schema) before dashboarding.• Delivered 3live PowerBI dashboards (attribution, cost, utilization) using advanced DAX, enabling real-time healthcare KPI tracking for stakeholders.• Conducted root cause analyses for data discrepancies, governed ingestion schedules, and monitored pipelines to ensure consistent delivery.• Generated ad-hoc analysis reports based on stakeholder requests, presented findings and recommended actionable fixes.• Automated manual transformation tasks via Python scripts, saving over 5 hours/week.
- Sysfore Technologies,Associate Software EngineerDIGITAL AND ITJuly 2020 - October 2021 (1 year and 4 months)India• Conducted time series demand forecasting using Python and Azure ML across distributed Amazon seller storage locations in India, improving stock planning accuracy.• Built scalable forecasting pipelines using Azure Data Lake and Azure Databricks, and deployed models via Azure ML for demand surge predictions.• Designed Power BI dashboards connected to Azure Data Lake, delivering real-time insights into forecast results and inventory trends.
- Data Semantics,BI InternDIGITAL AND ITNovember 2019 - April 2020 (6 months)India• Built an ETL pipeline using SQL Server Integration Services (SSIS) to load data into a data warehouse.• Modeled data into a star schema and deployed a tabular model using SSAS for OLAP analysis.• Created advanced DAX measures and KPIs in Power BI dashboards to track storage status, cycle count accuracy, and warehouse utilization.
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Education
- MSc in Data ScienceUniversity of Europefor Applied Sciences2023MSc in Data Science
- Master of Computer ApplicationsKristu Jayanti (Deemed to be University)Master of Computer Applications