Senior Lead Software Engineer · Virtusa
Leading Python engineering for enterprise-scale migration programs, architecting config-driven ETL, validation, logging, reconciliation, and audit frameworks for critical financial datasets.
Singapore-based · Open to data leadership opportunities
Building reliable
data systems
at scale.
I'm Apurwa Kumari, a Senior Data Engineer with 10+ years of experience across banking, telecom, and retail—specializing in Python ETL, Big Data, AML platforms, enterprise migration, and cloud-native data engineering.
$ whoami
Senior Data Engineer / Lead Python Developer
$ stack --core
Python · PySpark · SQL · Hive · Oracle · Azure · GCP · OCI
$ focus
AML · enterprise migration · auditability · scalable ETL
10+years experience
3global markets
10team members led
Engineering with ownership.
I turn complex, regulated data requirements into robust production systems—balancing scalability, traceability, stakeholder needs, and clean engineering practices.
Core stack
Deep hands-on engineering experience with modern data platforms, migration frameworks, and compliance-heavy workloads.
Data Engineering
High-volume, config-driven pipelines and reusable ETL frameworks.
PythonPySparkSQLHiveHadoop
Cloud & Platforms
Data processing and integration across multiple cloud ecosystems.
AzureGCPBigQueryOCIOracle DB
Governance & AML
Validation, reconciliation, traceability, and regulatory-ready data design.
AMLSanctionsAuditabilityDQ
Delivery & Leadership
Cross-functional execution from requirements through production cutover.
JenkinsBitbucketJIRAAutosysMentoring
Career journey
Progressive engineering and leadership roles across Singapore, London, and India.
Application Development Specialist · Accenture
Delivered reporting and analytics solutions on GCP BigQuery and Azure, while co-leading a team of 10 ETL developers.
Consultant · Virtusa
Owned full project lifecycle from scoping and requirements to implementation, testing, analytics, and stakeholder delivery.
Associate Consultant · Virtusa
Engineered large-scale data workflows, analytics, and process improvements across customer and system-level datasets.
System Engineer · Infosys
Developed product modules, administered WebLogic environments, and supported CI/CD deployments with Jenkins and Gradle.
Featured work
Selected high-impact programs where engineering rigor, migration reliability, and regulatory context mattered.
01
Enterprise Data Migration & Python Automation
- Lead Python developer for a large-scale Siebel exit program.
- Built config-driven ETL for extraction, transformation, reconciliation, and load.
- Automated JSON configuration generation and reusable migration utilities.
- Designed exception handling, data-quality checks, logging, and audit traceability.
02
AML Data Engineering & Deployment
- Migrated AML fraud detection workloads from Oracle to Big Data platforms.
- Built PySpark pipelines across multi-country datasets.
- Implemented L1/L2 transformations for parity with legacy workflows.
- Owned UAT, regression, production deployment documentation, and exceptions.
Recognition
A track record of execution excellence, quality delivery, and team impact.
2025
Execution Excellence Award
Recognized by Virtusa leadership for delivery quality and technical execution.
2024
Women of Distinction
Recognized twice for contribution and delivery excellence.
2019 / 2016
Stellar & Insta Awards
Earlier-career recognition for sustained performance and product contribution.
Education
Master’s — Data Science for Sustainability
National University of Singapore · Pursuing
B.Tech — Information & Technology
RGPV University · 2014
Continuous learning
Machine Learning · Time Series · Regression · Geospatial Analysis · Data Visualization · Sustainability Analytics
Azure FundamentalsOCI AI FoundationsGenerative AIManagerial Excellence
Let’s build data systems that last.
Interested in senior data engineering, platform modernization, AML data, enterprise migration, and technical leadership opportunities in Singapore.