Prakriti Jain
Student Research Assistant
Experience
Student Research Assistant
Heidelberg University
- Built a Databricks ETL pipeline to ingest and clean JSON book metadata from the OpenLibrary API.
- Transformed nested datasets using Python/PySpark and structured them into curated analytical tables.
- Loaded processed datasets into Snowflake to enable SQL based reporting and metadata analysis.
Data Engineer
IQVIA
- Built ETL pipelines using Apache Airflow and dbt, reducing runtime by 30%.
- Enhanced data query efficiency by 20% through optimization of Python components and MongoDB API integrations.
- Automated deployments using Docker and CI/CD pipelines, improving deployment reliability by 25%.
- Collaborated cross-functionally with data scientists and analysts to deliver analytics solutions, ensuring compliance with GDPR.
Data Analyst
IQVIA
- Managed 95% on-time delivery of MIDAS/Consumer Health databases for project clients across 90+ countries.
- Automated anomaly detection models for pharmaceutical data load using Python and SQL.
- Applied analytical and system optimization skills to ensure 99.5% data quality and end-to-end system performance.
- Performed troubleshooting and analysis on applications handling the OTCIMS database.
Software Engineer
ICS
- Identified functional user requirements, system requirements, software problems, and recommended improvements.
- Translated user and software requirements into design and specifications aligned with the IT architecture framework.
Summary
Data Engineer with 4+ years of experience building scalable data pipelines, integrating cloud native solutions, and optimizing ETL workflows for multi-country analytics systems. Skilled in developing end-to-end data architectures using AWS, Databricks, Airflow, dbt, Snowflake, and Kafka. Proven record of reducing ETL runtimes by 30%, ensuring 99.5% data accuracy, and enabling cross-functional analytics for 90+ countries.
Skills
Programming Stack: Python | Vba | Sql | Shell
Data Visualization & Databases: Power Bi | Tableau | Plotly | Matplotlib | Postgresql | Mongodb | Data Lakes
Data Engineering And Devops: Airflow | Dbt | Kafka | Docker | Jenkins | Ci/cd | Aws | Azure | Databricks | Snowflake | Pyspark
Machine Learning Framework: Scikit-learn | Tensorflow | Pytorch
Computer Vision: Object Detection | Uncertainty Estimation (Monte Carlo Dropout)
Soft Skills: Problem Solving | Communication | Collaboration | Adaptability | Critical Thinking | Leadership | Result-oriented
Languages
Education
Ruprecht Karl University of Heidelberg
M.Sc., Data and Computer Science · Data and Computer Science · Heidelberg, Germany · 2.4
Chhattisgarh Swami Vivekanand Technical University
B.E., Computer Science and Engineering · Computer Science and Engineering · Bhilai, India · 2.5
Profile
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