FAQ About Vikas Bansal

• What is Vikas Bansal's address?

  Vikas Bansal is located at
  New York City Metropolitan Area, New York City Metropolitan Area, United States

• What is Vikas Bansal's job title?

  Vikas Bansal is a Google Cloud - Data Architect: - Architect for Data Engineering Platform (ingesting 3V data sources - Batch and Real Time pipelines) - Building Robust Data Ingestion Frameworks (Full/Delta/CDC over 40+ different sources) - Google Cloud Platform / Google Big Query / Airflow (Composer) / PubSub / Cloud Functions - Google Cloud Security and IAM Architecture implemetation - Artchitected and Implemented Google Cortex for LookML Dashboards for SAP/ECC Data Sources - Google FinOps (Cost Optimization) - Defined/implemented SOX compliance for Data Engineering Platform - Enabled Data Privacy / Data Security / Dynamic Data Masking / Taxonomy / DLP / CCPA - Early adopters for newly launched GCP Services like Cortex for SAP Integration, Analytics Hub for Data sharing with Vendors - Enabling Confluent Kafka integration for Real Time Use Cases / Analytics - Enabling Mongo DB Data Sources for Real Time Analytics - Enabled Business teams to load/transform data in 7 mins (optimized workloads which were taking more than 15 hours) - Set up CI/CD process using Jenkins from scratch and defining branching strategies for complete automated deployments Collibra: - Architect for Collibra Data Quality and Data Governance (Built from scratch), Setting up Catalog and Lineage using EDGE Databricks: - Implement Databricks platform (Security, Architecture, Data Lake) Data Science platform - Enabling Databricks integration with GCP to support AI/ML use cases AWS Architect: - Architected and implemented real-time pipeline using AWS API Gateway, Lambda, ElastiCache and Firehose. Delivered events to Http endpoint with ~100 ms latency. - Implemented E-Commerce real-time trending products using AWS Kinesis, Elastic Search, Spark and Rest APIs. Hands on Hadoop (Big Data) architecture and development: - Amazon AWS Lambda - Amazon EC2, EFS, ELB, S3, IAM - Amazon Cloud Watch, RDS, ElastiCache, SNS, SQS - Amazon Redshift - Real time Streaming with AWS Kinesis, Firehose - Apache Spark Streaming, Spark on Amazon EMR - Elastic Search - MapR Hadoop, Hive, Sqoop (Building Data Lake) - Development (Java, Scala, Kafka, Spark, Spark Streaming) - Hands on Data Integration using Talend Real-time Big Data Platform

• What industry does Vikas Bansal currently work in?

  Vikas Bansal currently works in the Ulta Beauty |

• Which languages does Vikas Bansal speak?

  No Languages Available

• Which industries has Vikas Bansal previously worked in?

  Vikas Bansal has prior
  experience in the following industries:
  Publishers Clearing House | Wipro Technologies | Johnson And Johnson | Ericsson | Aircel | Ibm Global Services | Patni Computer Systems | Tech Mahindra

• What is Vikas Bansal’s work experience?

  Vikas Bansal has the following professional experience:
  Ulta Beauty | Publishers Clearing House | Wipro Technologies | Johnson And Johnson | Ericsson | Aircel | Ibm Global Services | Patni Computer Systems | Tech Mahindra

• How can I find Vikas Bansal on LinkedIn?

  You can view Vikas Bansal’s LinkedIn profile at LinkedIn URL

• What are Vikas Bansal’s work email addresses?

  Vikas Bansal’s work email
  addresses are
  vbansal@ulta.com

• What company does Vikas Bansal work for?

  Ulta Beauty |