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Amala Xavier

@amalaxavier

Senior Azure Data Engineer who cut pipeline runtimes with incremental loading and optimized Delta Lake layers.

India
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At Infosys, I designed and built Azure Data Factory and Azure Databricks pipelines for an enterprise e-commerce data lake. I processed daily data into ADLS Gen2 and supported analytics for business units.

I engineered Bronze, Silver, and Gold Delta Lake layers using Medallion Architecture. Partitioning, caching, and Spark job optimization reduced downstream query runtime by about 35%, while incremental loading cut pipeline runtime by approximately 40%.

At TCS, I built metadata-driven Azure Data Factory pipelines for a retail sales warehouse, consolidating data from source systems. Incremental loading cut daily load times by about 25%, and Mapping Data Flows supported cleansing, transformation, and validation.

Earlier, at Flex, I developed Azure Data Factory pipelines and reusable parameterized templates for retail sales data. At Genius Consultants, I built integration services with SoftwareAG webMethods and wrote custom SQL for data extraction and validation.

Experience

Work history, roles, and key accomplishments

FL

Associate Engineer

Flex

Mar 2021 - Sep 2022 (1 year 6 months)

Developed ETL pipelines using Azure Data Factory to ingest data from 6+ relational databases and flat files. Built Linked Services, Datasets, Pipelines, Triggers, and Mapping Data Flows to automate end-to-end ETL workflows.

GC

IT Trainee

Genius Consultants

Mar 2020 - Mar 2021 (1 year)

Built A2A/B2B integration services using SoftwareAG webMethods and wrote custom SQL for data extraction and validation. Deployed releases across Dev, SIT, and UAT via webMethods Deployer.

Education

Degrees, certifications, and relevant coursework

UV

University College of Engineering, Villupuram

Bachelor of Information Technology, Information Technology

2014 - 2018

Grade: 76%

Bachelor of Information Technology degree from University College of Engineering, Villupuram, completed in 2018 with 76%.

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