Anushile Agarwal

Director of Engineering

Delhi, India17 yrs 11 mos experience
Highly Stable

Key Highlights

  • Expert in data engineering and analytics for financial services.
  • Proven leadership in developing data strategies and governance.
  • Strong track record in risk management and data integrity.
Stackforce AI infers this person is a Fintech expert specializing in data engineering and analytics.

Contact

Skills

Core Skills

Data EngineeringEngineering LeadershipRisk Management

Other Skills

StrategyStrategic PlanningSystem ArchitectureTeam ManagementCoaching & MentoringProject ManagementProduct ManagementMachine LearningDeep LearningNatural Language Processing (NLP)Speech ProcessingComputer VisionDeep Reinforcement LearningEdge ComputingRepresentation Learning

About

At NatWest Group, my leadership in developing data strategies has been instrumental in enhancing our Fraud, Financial Crime, and Payments analytics capabilities. My role involves setting engineering standards and managing risk policies, which has solidified our department as a bastion of data integrity and innovation. We ensure resilient operations by implementing robust data management and transformation practices that are critical in today's dynamic financial landscape. My tenure as Principle Engineer has been marked by delivering solutions that support intelligent risk-taking and data loss prevention. Collaborating with a dedicated team, we have established production-grade controls and governance frameworks. These collective efforts have propelled our data lakes to new heights of efficiency and quality, fostering an environment where continuous learning and strategic data deployment are at the heart of our success.

Experience

17 yrs 11 mos
Total Experience
5 yrs 8 mos
Average Tenure
10 mos
Current Experience

Barclays

Director - Data Engineering - Corporate Data Services

Jul 2025Present · 10 mos · Pune District, Maharashtra, India · Hybrid

Natwest group

4 roles

Principle Engineer - Fraud, Financial Crime, Payments and Opertions Analytics, Data & Analytics

Sep 2022Jul 2025 · 2 yrs 10 mos

  • got promoted to Principle Enginner and responsible for defining data strategy and engineering standards for multiple data lakes for Fraud, Financial Crime and Payments
  • Managed response to critical situtions like surge in DSAR requests dealing with ambiguity at various levels
  • Responsible to evangelise and develop common data capabilities like Data Ingestion, quality, management and transformation.
  • responsible for Risk management for the department including support for Risk policy development, assessment, Data Loss Preverntion and intelligent risk taking practices
Data EngineeringEngineering LeadershipStrategyStrategic PlanningSystem ArchitectureTeam Management+2

Interim head of Data Engineering, Fraud, Financial Crime and Services analytics, Data & Analytics

Promoted

Nov 2017Aug 2022 · 4 yrs 9 mos

  • responsible for driving data based decisions in Tax opertions team and thier submission to HMRC
  • Managed a team of 30+ people in a role two grades above me as interim manager in a difficult time of Covid
  • Responsible for implementation of production grade controls and governance for the first time in the team. Lead as an example of federation of data engineering from Data Technology to Business team.
Data Engineering

Data Engineer (Assitant Vice Precident), Retail Banking Analytics, Data & Analytics

Promoted

Oct 2013Nov 2017 · 4 yrs 1 mo

  • As AVP for Data Engineering in Retail Banking
  • developed strategically designed solution for Customer Decisioning System (CDS) and Closed Loop Feedback (CLF) working closely with the analysts as well as the data technology and platform teams
  • Lead the data deployment for implementation of PEGA for customer contact decisioning in Retail banking
  • Partnered with data technology on implemention and user adoption of Hadoop
Data Engineering

Data Engineer (Assitant Manager), Retail Banking Analytics, Data & Analytics

Oct 2012Oct 2013 · 1 yr

  • As Assitant Manager,
  • Engineered retail banking data on Teradata, sourcing them from Mainframe COBOL files and DB2 tables using a self developer tool on SAS (Teraloader)
  • responsible for user adoption for Teradata. Conducted many training sessions to ensure responsible and safe usage of the platform. Ensured right data as per governance was put on the platform
  • Developed a mechnism to compress Terabytes of data on Teradata to make space for EDW
Data Engineering

Dunnhumby

2 roles

Associate Technical Architect

Jul 2010Oct 2012 · 2 yrs 3 mos · Gurugram, Haryana, India

  • As an Assistant Technical Architect with the Foundation Team,
  • designed Sand databases, built organizational capabilities, and derived insights from complex data.
  • developed front-end tools with HTML/CSS/PHP, deploying complex products,
  • streamlined Linux file system security,
  • lead IT outsourcing and ITIL implementation for a third-party company.
Data Engineering

Senior Data Solution Developer

Dec 2009Jul 2010 · 7 mos · Gurugram, Haryana, India

  • Projects undertaken with Data Team as a developer are:
  • Development of segmentation for a US based non-grocery retail client
Data Engineering

Tata consultancy services

4 roles

Product Quality Group - Tech Lead

May 2009Oct 2009 · 5 mos

  • Projects undertaken with PQG as a tech lead are:
  • 1) Testing of DTE (Data Transformation Engine) and Creation of a process around it.
  • 2) Formal testing of 16 'Broad Use Modules' used in the DTE process.
Data Engineering

Product Quality Group - Team Member

Dec 2008Apr 2009 · 4 mos

  • The purpose of the PQG team is to explore and device new and better ways to improve quality and efficiency of the entire process including ADS TFL and MLA.
  • Noticeable projects completed with this team involves:
  • 1) Development of macros of code header and standardization automation.
  • 2) Development of broad use ADS Lums for Trial Level Safety Reports
Data Engineering

ADS-Team Member

Jan 2008Nov 2008 · 10 mos

  • As ADS team member, my role included devoloping analysis datasets as per the specified details.
  • I also devoloped limited used modules for higher reusability.
Data Engineering

Trainee

Sep 2007Dec 2007 · 3 mos

  • As a part of Initial Learning Program, I received learnings for Process (SDLC, systems thinking etc), Soft Skills ( Like Leadership) and technology( Mainframes and COBOL with DB2).
Data Engineering

Education

Indian Institute of Science (IISc)

Certificate Programme in Quantum Computing — Quantum Computing

Feb 2025Oct 2025

Indian Institute of Science (IISc)

PG Level Advanced Certification Programme in Deep Learning Foundations and Applications — Artificial Intelligence

Apr 2024May 2025

B. M. S. College of Engineering

BE — Manufacturing Science

Jan 2003Jan 2007

St. Xaviers' school

ISC — science

Jan 1989Jan 2003

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