---
title: "Aashu Vijayawargiya - Data Engineering Manager in Pune Division | Tal"
description: "Meet Aashu Vijayawargiya, Data Integration | Machine Learning | Spark | Snowflake | Databricks | Data Visualization | Banking | Digital Engineering | Data Management | Data Analytics | Data Mesh|GenAI based in Pune Division. AI stack includes claude code."
image: "https://tal.club/meet/aashu-vijayawargiya/share-image"
---

# Aashu Vijayawargiya on Tal

## Headline

Data Integration \| Machine Learning \| Spark \| Snowflake \| Databricks \| Data Visualization \| Banking \| Digital Engineering \| Data Management \| Data Analytics \| Data Mesh\|GenAI

## About

I lead data engineering teams and build enterprise\-scale data platforms on Snowflake, AWS, and Databricks — having grown and managed teams from 3 to 20 engineers across Banking, Payments, Retail, Healthcare, and HR domains\. ☁️ Snowflake My primary platform for governed, scalable data delivery\. Expertise spans warehouse design, cost optimization, Clean Rooms \(integrated with LiveRamp\), Dynamic Masking, Row\-Level Security, Data Metric Functions, and GenAI capabilities via Cortex, Cortex Agents, and Cortex Search\. ⚙️ AWS Cloud\-native data lake and pipeline architecture using S3, Glue, Lambda, Step Functions, Redshift, and EMR — with S3 lifecycle policies for cost\-efficient data tiering across the full data lifecycle\. 🔥 Databricks Large\-scale Spark workloads, Delta Lake architecture, and real\-time streaming pipelines for ML, feature engineering, and analytics at scale\. 🔁 ETL & Data Integration End\-to\-end ETL/ELT design using Informatica, IICS, Talend, and Pentaho alongside modern cloud\-native orchestration — covering both batch and real\-time ingestion patterns\. 📋 Data Management, Lineage & Governance Enterprise data management frameworks: RBAC, data contracts, row\-level security, and end\-to\-end data lineage for full source\-to\-consumption traceability\. Data quality enforced via Great Expectations, Soda Core, and Snowflake Data Metric Functions\. 📊 Data Visualization Delivered self\-serve analytics and executive dashboards connecting Snowflake and Databricks to Tableau, Power BI, and Snowflake\-native analytics — enabling faster, data\-driven decisions\.

## Location

Pune Division

## AI stack

claude code

## Work experience

Data Engineering Manager at Guidepoint, Jul 2025 \- Present · 1 yr 1 mo, Pune District, Maharashtra, India, • Owned data sharing strategy by building Snowflake Clean Rooms integrated with LiveRamp, enabling privacy\-safe data collaboration and secure external data partnerships\. • Established and enforced data governance frameworks including RBAC, row\-level security, dynamic masking, and data contracts to ensure secure and compliant data access\. • Drove platform performance and cost optimization initiatives by tuning Snowflake warehouses, query performance, storage lifecycle \(Time Travel, Fail\-safe\), and AWS S3 lifecycle policies\. • Built and scaled data quality frameworks by evaluating and implementing tools such as Great Expectations \(GX Core\), Soda Core, and Snowflake Data Metric Functions\. • Partnered with business and product teams to identify and deliver GenAI use cases, building capabilities using Snowflake Cortex, Cortex Agents, and Cortex Search for intelligent data applications\. • Provided technical leadership and mentorship, driving cross\-functional alignment with Data Architecture, Security, and Product teams to deliver scalable, high\-impact data solutions

Vice President \| Fraud Data and Analytics at NatWest Group, Dec 2022 \- Jul 2025 · 2 yrs 8 mos, Pune District, Maharashtra, India, • Designed and built scalable ETL/ELT and near real\-time data pipelines using Kafka, PySpark, and StreamSets to process high\-volume transaction and customer interaction data\. • Developed analytical data models and data stores in Snowflake to enable efficient querying and detection of fraudulent transactions\. • Established data contracts and enforced data standards across Fraud and Payments domains, ensuring consistent, reliable, and well\-governed data exchange\. • Integrated third\-party fraud platforms \(BioCatch, Broadcom, Fiserv\) to ingest behavioral, transactional, and device intelligence signals for enhanced fraud detection\. • Partnered with cross\-functional teams \(Data Security, Architecture, Product, Risk\) to define delivery goals and align on scalable, secure data solutions\. Led key deliverables and mentored team members, driving execution of high\-impact fraud data initiatives and improving detection efficiency\.

Data Engineering Manager at Thermo Fisher Scientific, Jan 2022 \- Dec 2022 · 1 yr, Pune Division, Maharashtra, India, • Responsible for building Databricks Lakehouse architecture and driving supply chain analytics on top of data aggregated from Multiple ERP sources\. • Working with the business stakeholders to define the KPIs to improve operations efficiency\. • Resposible for driving Organizational Data management Stratergies\. • Leading a team of Data Analysts, Data Engineer and Visualization Engineers\. • Responsible for traning, coaching and mentoring new associates joining the organization\.

Solutions Architect, AML Customer Experience Platform at Western Union, Mar 2020 \- Jan 2022 · 1 yr 11 mos, Pune, Maharashtra, India, • Working with Product Manager to understand the requirement across Customer Experience and driving insights out of Big Data Platform by use of Hive queries\. • Collecting internal and external data for assigned projects by collaborating with the Senior management of Customer Insights and presenting data in the form of business reports\. • Enhancing Customer experience by addressing transaction's pain points and improvising the transaction experience by better friction points reporting\. • Responsible for documenting data requirements, data collection/processing/cleaning and exploratory data analysis which may include utilizing statistical models/algorithms and data visualization techniques\. • Responsible for migration of Cloudera Big Data Reporting platform to AWS Snowflake and actively involved in testing of Customer Experience Business reports with all the business stakeholders\. • Migrating all the excel Business reports to Tableau and enhancing and scheduling it as per business needs\. • Identifying and highlighting reported Fraud cases to business owners to refine their operation strategies and helping them collate Fraud cases in MoM Tableau reports\. •

Senior Associate at Western Union, Aug 2017 \- Mar 2020 · 2 yrs 8 mos, Pune/Pimpri\-Chinchwad Area, • Responsible for migration of the Legacy application to Cloud platform particularly on AWS\. • Experience in conducting POC around multiple data technologies like Couchbase, Cassandra and supporting them over AWS EC2 deployments\. • Setting up AWS data fabric by means of CloudFormation\. • Driving the Data migration strategy from MPP databases to Cloud Datawarehouse like Snowflake\. • Responsible for Data modelling to support MVP and laying the foundation for application modernization by means of setting up Data governance frameworks\. • Designing, developing & optimizing ETL flows by means of ETL tools like Informatica Cloud and Talend\. • Responsible for Legacy AS400 application to AWS Cloud migrations by Talend Cloud and ensuring field\-level encryption by Gemalto keys\.

Associate at Cognizant Technology Solutions, Sep 2014 \- Aug 2017 · 3 yrs, Pune/Pimpri\-Chinchwad Area

## Education

BE, Electronics & Communication, UEC Ujjain

SSC, Science, Kendriya Vidyalaya\(Ujjain\)

[View the original profile](https://tal.club/meet/aashu-vijayawargiya)

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