SMAbout Shivakumar
Hi! I’m a Data Engineer with hands-on experience designing data pipelines, automating workflows, and building dashboards that drive decision-making. I recently completed my Master’s in Data Analytics in France and a Data Engineering internship in Amsterdam, where I developed scalable pipelines and interactive tools to support operations and reporting.
🔧 What I can help you with:
• Designing end-to-end ETL/ELT pipelines
• Automating workflows using Apache Airflow
• Creating clean and reliable dashboards in Power BI, Tableau, or Retool
• Writing optimized SQL queries and managing relational databases (MySQL, PostgreSQL)
• Building and deploying scripts in Python
• Integrating data from APIs, Excel, or CRMs like HubSpot or Shopify
• Cleaning and transforming unstructured data
🚀 Tools & Tech I work with:
Python, SQL, Airflow, dbt, Pandas, Power BI, Retool, Snowflake, Azure, Git, BigQuery, Looker
📈 I enjoy working with startups, scale-ups, and teams who need flexible and dependable support with their data stack — whether it’s setting up a pipeline from scratch or building a quick dashboard to track KPIs.
Let’s connect and make your data work for you!
English
Native or bilingual
French
Basic
Remote only
Primarily works remotely
Experience
- WorkwizeData EngineerAugust 2024 - February 2025 (6 months)Amsterdam, Netherlands• Optimized MySQL queries to enhance data retrieval efficiency, reducing query execution time by 60%• Designed and implemented interactive Retool dashboards to monitor inventory across 8 warehouses, tracking KPIs and improving operational efficiency• Built an ETL pipeline for sourcing request automation using Apache Airflow, streamlining sourcing operations and reducing manual effort by 20 hours monthly• Created workflows for automated inventory validation, ensuring data integrity across 10,000+ SKUs and enabling real-time inventory monitoring
- PricewaterhouseCoopers (PwC)Data Analyst(Associate)September 2021 - August 2023 (1 year and 11 months)Bengaluru, Karnataka, India• Engineered scalable data pipelines using Azure Databricks and Apache Spark for real-time analytics, streamlining data ingestion to Azure data lake• Utilized Azure Data Factory to orchestrate end-to-end data workflows, enabling seamless ETL processes that support business-critical reporting and analytics• Built predictive models using ARIMA, Prophet, and LSTM within Azure Databricks, increasing sales forecast accuracy by 86%• Designed executive dashboards in Power BI, integrated with Azure Synapse for real-time data insights for strategic decision-making among stakeholders
- Netra, KLE Technological UniversityData analyst internJune 2019 - May 2021 (1 year and 11 months)Hubballi, Karnataka, India• Analyzed 2 years of water consumption data from 13 IoT sensors across campus, managing 20GB+ in AWS DynamoDB• Optimized data integration processes, reducing data latency by 20% through efficient use of AWS IoT and Lambda functions• Applied time series forecasting models for consumption forecasting, achieving 85% accuracy in 1-month predictions• Developed interactive dashboard, reducing variation in water usage across 5 campus buildings
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Education
- MScEDHEC BUSINESS SCHOOL2024Data Analytics and Artificial Intelligence
- Bachelors in EngineeringKLE Technological University2021Electronics and Communications Engineering