Siddhant Kawji
Data Engineer
Mumbai
Summary
Data Engineer building Azure Data Factory and Apache Spark pipelines that automate Freight, Sales, and import/export workflows. Delivers faster processing with PySpark and SQL, cutting manual effort by 40% and improving large-dataset performance by 50%. Builds analytics datasets that improve reporting accuracy and shorten quarterly and yearly revenue reporting by more than 45%.
Overview
3
3
Languages
5
5
years of professional experience
Work History
Data Engineer
RJ Brothers International
06.2025 - Current
- Developed end-to-end data pipelines using Azure Data Factory to orchestrate Freight and Sales workflows, reducing manual effort by 40%
- Developed end-to-end data pipelines using Azure Data Factory to orchestrate Freight and Sales workflows, reducing manual workflow effort by 40 Percent
- Created sales analytics pipelines showing Quarterly and yearly revenue, reducing report generation time by over 45 percent and enabling faster business decisions.
- Created sales analytics pipelines for quarterly and yearly revenue, cutting report generation time by over 45% and facilitating quicker business decisions.
- Tech Used: Python, SQL, Apache Spark, Azure Data Factory, ETL Pipelines.
Data Engineer
SAP Global Logistics
01.2024 - 05.2025
- Built scalable ETL pipelines for custom clearance analytics, enhancing system performance by 35%.
- Processed shipment-level datasets, cutting aggregation time by 40%.
- Designed structured datasets for tracking container volumes and clearance frequency trends, increasing analysis efficiency by 30%.
- Collaborated with cross-functional teams, reducing delivery turnaround time by around 25 percent.
- Tech Used: Python, SQL, Data Modeling, ETL Pipelines.
Data Engineer
LODESTAR CONTAINER LINES PVT LTD
10.2021 - 12.2023
- Designed and implemented ETL data pipelines across multiple departments, enhancing data accessibility by 50 percent.
- Designed and implemented ETL data pipelines; across multiple departments, improving data accessibility by around 50 percent
- Developed analytical datasets to identify clients with declining revenue trends year-over-year, track outstanding invoice amounts per client and salesperson, and analyze penalty costs and operational cost efficiency.
- Tech Used: Python, SQL, Excel, ETL Pipelines, Data Cleaning
Education
Bachelor of Science - Computer Science
St.Wilfred’s College of Arts, Commerce and Science
Navi Mumbai, Maharashtra05-2021
Skills
- Apache Spark
- Python
- SQL
- Azure Data Factory
- Databricks
- Data modeling
- ETL pipelines
- Data quality validation
- Workflow orchestration
- Data warehouse design
- Sales analytics
- Operational reporting
- Dashboard development
- Requirements gathering
- Stakeholder communication
Timeline
Data Engineer
RJ Brothers International
06.2025 - Current
Data Engineer
SAP Global Logistics
01.2024 - 05.2025
Data Engineer
LODESTAR CONTAINER LINES PVT LTD
10.2021 - 12.2023
Bachelor of Science - Computer Science
St.Wilfred’s College of Arts, Commerce and Science