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Satyam Asati

@Satyam_asati

Sr. Software Engineer at Ellicium Solutions (GTO)

Pune, Maharashtra, India

https://www.linkedin.com/in/satyam-asati-09789423a

Ellicium Solutions (GTO)K. D. K. College of Engineering

Satyam Asati is a Data Engineer with over 3 years of experience designing scalable ETL pipelines, Data Lakes, and data warehouse solutions on Azure. He specializes in developing end-to-end data pipelines using Python, Azure Data Factory, Databricks, and SQL. His expertise includes data modeling, Medallion Architecture, and incremental data loading. Satyam has a proven track record of building reliable data platforms that enable advanced analytics and business insights.

Experience

Sr. Software Engineer

Ellicium Solutions (GTO)

•Jan 2024 - Present•Pune, India

Built a shared Python library published through Azure Artifacts Feed to standardize commodity identification logic. Developed a Python-based data ingestion pipeline leveraging Bing Search APIs, OpenAI models, and NLP techniques. Designed and implemented Azure Data Factory pipelines to ingest tariff data and orchestrated downstream synchronization. Designed and maintained fact and dimension tables for supply chain analytics. Implemented SCD Type 2 logic for tariff datasets. Developed APIs to interact with Azure Cosmos DB and designed scalable document schemas.

Sr. Software Engineer

Ellicium Solutions (SXR)

•Sep 2023 - Dec 2023•Pune, India

Built automated Python ETL pipelines to ingest and preprocess large CSV datasets. Integrated OpenAI GPT-3.5 models into the pipeline to enrich supplier data and perform domain-based de-duplication. Developed automated classification pipelines to categorize organizational spend. Designed data transformation workflows to standardize supplier and transaction datasets.

Data Intern

Ellicium Solutions

•Sep 2022 - Sep 2023•Pune, India

Designed and implemented a configurable ETL framework in Python. Built distributed data processing pipelines using PySpark and Apache Spark to clean, transform, and aggregate large datasets. Ensured data reliability through validation, cleansing, and transformation processes.

Education

K. D. K. College of Engineering

Bachelor of Engineering

Jan 2017 - Jan 2021

Skills

Python
SQL
Git
VS Code
Databricks
Azure Cosmos DB
Azure Data Factory (ADF)
SQL Server
Apache Spark
Apache Hive
ETL/ELT Pipelines
Data Warehousing
Medallion Architecture
Fact & Dimension Modeling
Slowly Changing Dimensions (SCD Type 2)
Change Data Capture (CDC)
Incremental & Full Loads