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shehnaz asfi

@shehnazasfi

Data Engineer at KPMG Global Services and Accenture who developed Spark/Scala ingestion pipelines and reusable Python ETL utilities.

India

Message

What I'm looking for

I’m open to remote opportunities.

At Accenture, I built generic Spark and Scala ingestion pipelines and reusable frameworks for relational data, making it simpler to onboard additional sources. I also automated HDFS and Oozie monitoring and supported SAS-to-Hadoop migration.

At KPMG Global Services Pvt. Ltd., I contributed Scala code to a Quantexa investigative application for financial-crime detection, anti-money laundering, and risk assessment. The work supported ETL, entity scoring, network analysis, and investigative workflows.

I developed a reusable Python ETL Utilities Library for CSV and JSON handling, API ingestion, data-quality validation, logging, and configurable pipelines. I also built an Azure Databricks lakehouse project using Bronze, Silver, and Gold layers with Spark and Delta Lake concepts.

Experience

Work history, roles, and key accomplishments

Associate Consultant

KPMG Global Services Pvt. Ltd.

Apr 2021 - Jul 2022 (1 year 3 months)

Contributed to implementation and support of an investigative application for financial-crime detection, anti-money laundering, and risk assessment using the Quantexa platform. Developed Scala code for ETL, entity scoring, network analysis, and investigative workflows.

Scala Spark Quantexa ETL Entity Scoring Network Analysis IntelliJ IDEA

Application Developer

Accenture

Mar 2017 - Apr 2021 (4 years 1 month)

Built generic, file-based ingestion pipelines using Spark and Scala to process data from diverse source systems. Designed reusable frameworks for relational data ingestion and automated operational monitoring scripts for HDFS, data refresh, and Oozie job failures.