Avinash Mulki
Staff Engineer - Data Engineering
- Role
- Staff Engineer - Data Engineering at Altimetrik
- Location
- Mangaluru, KA, IN
- LinkedIn followers
- 500 followers
About Avinash Mulki
As a data engineer, I have experience in building and maintaining scalable data pipelines…
Experience
Staff Engineer - Data Engineering
Nov 2021 — Present · Bengaluru, IN
Led a team of data engineers to derive actionable insights from supply chain data using Snowflake and Snowpark, enhancing forecast accuracy and optimizing data modeling efforts.• Developed and optimized ETL pipelines using Azure Data Factory, integrating data from sources like SAP, SFTP, and Salesforce, significantly improving data availability and enabling faster business insights.• Created complex data models and a Single Source of Truth (SSOT) in Snowflake, improving data integrity, reliability, and reporting, which enhanced financial forecasting and operational efficiency.• Implemented a Snowflake-native data quality framework, ensuring high data accuracy. Authored an article on this approach, which was published on Medium and the company blog, establishing thought leadership in the data engineering community.• Ingested large volumes of data from SAP ERP into Snowflake using Calibo\'s Lazsa platform, significantly reducing data ingestion time and enhancing data availability for business analysis.• Analyzed Account Payable and Receivables data in Snowflake to drive financial intelligence, providing actionable insights into key metrics like Revenue and Cost of Sales, and reducing financial reporting errors.• Standardized data flow architecture and implemented comprehensive error handling and job logging for efficient debugging, resulting in improved data reliability.• Designed reusable Azure Data Factory (ADF) components, enhancing pipeline efficiency and reducing manual coding effort across data integration projects.• Implemented role-based data masking in Snowflake for sensitive data, ensuring compliance with GDPR and enhancing data security.• Partnered with the Power BI team to streamline data consumption from Snowflake, improving report generation speed for better decision making.
Education
NMAM Institute of Technology
Bachelor of Engineering - BE
2010 — 2014
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