I am a Data Engineering and Cyber Security Honors student with hands-on experience in building scalable data pipelines, cloud architectures, and real-time streaming systems.
I specialize in SQL, Python, PySpark, Tableau, and Power BI and have worked on ETL workflows, serverless architectures, and AI-ready data pipelines.
Some highlights:
- Built a Streamlit app predicting developer salaries in Europe using Gradient Boosting.
- Implemented AWS serverless pipelines using Glue, Lambda, S3, and Athena for automated data ingestion.
- Experienced in real-time data processing with Kafka and Spark Streaming.
- Skilled in data cleaning, EDA, model building, and visualization, bridging the gap between raw data and actionable insights.
- AWS: S3, Glue, Lambda, Athena
- Google Cloud: BigQuery, Cloud Data Fusion
- Data Platforms: Snowflake, Databricks
- Big Data Tools: Hadoop, Apache Spark, PySpark
- Orchestration & ETL: Apache Airflow, Data Build Tool (DBT)
- Tableau, Power BI (DAX)
- Microsoft Excel, Microsoft SQL Server
- SQL for querying and ETL
- Python (Programming Language)
- Data Gathering, Cleaning, EDA, Model Building
- Streamlit App Development
Feel free to explore and connect with me for collaborations, discussions, or project insights!
- GitHub
- 📧 Email: *work.shrutipitale@gmail.com"
📝 Medium Articles | 💻 GitHub Projects | 📊 Tableau Dashboards | 📈 Power BI Repo
Welcome! Explore my data engineering, analytics, and data science projects along with my technical Medium articles.
![]() YouTube Data Analytics Pipeline with GCP 🔗 Read More |
![]() Employee and Product Data Analysis 🔗 View Repo |
![]() MovieLens Data Pipeline — S3 / Airflow / dbt / Snowflake 🔗 View Repo |
![]() Real time Streaming with Unstructured Data 🔗 View Repo |
![]() Real-Time Streaming with Unstructured Data on AWS using Apache Spark 🔗 View Repo |
![]() MovieLens Data Pipeline — S3 / Airflow / dbt / Snowflake 🔗 View Repo |
![]() Employee and Product Data Analysis 🔗 View Repo |
![]() YouTube Data Insights Pipeline with GCP 🔗 View Repo |
![]() Data Science Estimator Using Glassdoor 🔗 View Repo |
India Premier League Analytics 🔗 View Repo |
Transactional Retail Dataset of Electronics Store 🔗 View Repo |
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Cars Sales Tableau 🔗 View Repo |
Pizza Sales Dashboard Tableau 🔗 View Repo |
Bank Loan Tableau 🔗 View Dashboard |
Road Accidents Dashboard Tableau 🔗 View Repo |
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Netflix in Power BI 🔗 View Repo |
AyodhyaRam Temple in Power BI 🔗 View Repo |
Amazon Prime Video in Power BI 🔗 View Repo |
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FIFA World Cup in Power BI 🔗 View Repo |
Customer Churn Analysis in Power BI 🔗 View Repo |
Ecommerce Analysis in Power BI 🔗 View Repo |
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Competitor Analysis in Power BI 🔗 View Repo |
Healthcare Analytics in Power BI 🔗 View Repo |
HR Analytics in Power BI 🔗 View Repo |
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Inventory Analysis in Power BI 🔗 View Repo |
Mortgage Trading Analysis in Power BI 🔗 View Repo |
Supply Chain Analytics in Power BI 🔗 View Repo |
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Walmart in Power BI 🔗 View Repo |
Bank Loans in Power BI 🔗 View Repo |









