Building scalable data pipelines and automation solutions
4+ years of experience designing ETL pipelines, optimizing cloud data warehouses, and delivering big data solutions that reduce processing time and improve scalability.
Python
SQL
PySpark
Snowflake
Databricks
Azure
AWS
Kafka
Hadoop
Git
Docker
Oracle
Python
SQL
PySpark
Snowflake
Databricks
Azure
AWS
Kafka
Hadoop
Git
Docker
Oracle
About
Results-driven Data Engineer with expertise in designing scalable ETL pipelines, optimizing cloud data warehouses, and delivering big data solutions. Hands-on with Matillion, Databricks, SSIS, Snowflake, PySpark, Azure, and Power BI to automate data workflows and improve reporting accuracy.
Proven track record of reducing ETL runtime by 30% and improving scalability for large-scale enterprise datasets across global operations.
Experience
Data Engineer
Leading Global Automotive & Manufacturing Enterprise (Supply Chain Division)
- Designed and deployed 15+ scalable ETL/ELT pipelines using Snowflake, Matillion, and SSIS — reducing processing time by 30% and improving scalability for enterprise datasets
- Developed the PFEP KPI dashboard in Databricks, Power BI, and PySpark — reducing manual tracking by 25+ hours/month and improving cross-team visibility
- Built and delivered 10+ executive dashboards in Power BI — improving leadership decision-making and defect tracking
- Optimized a Python-based classification algorithm, reducing execution time from 2 hours to under 5 minutes
- Integrated heterogeneous data sources (Oracle, SQL Server, Snowflake, Azure Blob) into centralized reporting models, improving reporting accuracy by 15%
Key Projects
Global Manufacturing KPI Dashboard
Built an executive-level Power BI dashboard to track global operational metrics including quality, productivity, and delivery. Achieved SLA-driven refresh times of under 30 minutes with 95%+ data accuracy across multiple global plants.
PFEP Dashboard
Built a centralized reporting platform providing complete visibility into parts information across supplier, packaging, and warehouse operations. Eliminated manual reporting, saving 25+ analyst hours/month.
VPI Tariff Estimation & Simulation
Automated ingestion of program data from SharePoint into Databricks workflows. Designed and optimized Python algorithms to handle hierarchical relationships, reducing runtime from 2 hours to under 5 minutes.
Core Skills
Programming & Processing
Python (Pandas, NumPy), SQL, PySpark, DAX
Data Engineering & ETL/ELT
Matillion, Databricks, SSIS, Snowflake
Cloud & Infrastructure
Azure (Blob, Synapse, Data Lake), AWS (S3), Hive
Big Data & Streaming
Apache Spark, Apache Kafka, Hadoop ecosystem
Data Modeling & Warehousing
Star/Snowflake schema, Normalization, Performance Tuning
Visualization & Analytics
Power BI, Excel
Certifications
- Snowflake Core Pro Certified
- Microsoft Azure Data Fundamentals (DP-900)