SUMMARY

• Experience in Pre - sales efforts, such as responding to RFPs, Software demonstrations and Client visits
• Expertise in managing service delivery projects (production support, Maintenance (AVM) Projects) and Development Projects in DW&BI(Analytics), and as well Mainframe
• Experience in Cloud Data warehouse such as Snowflake, AWS Redshift, Cloud Data Lakes using AWS
• Expertise in Data Migration Projects (both Traditional and Big data) using Ab inito, Informatica, Big Data Stack of projects such as Scoop, Hive etc…
• Expertise in Design, implement (delivery) of AWS cloud Migration projects from On-Premise EUT Applications (including Data) like Capital Adequacy tools in MATLAB, C# to AWS-Cloud. Optimized the cost by building custom build utilities
• Conducted PoC on IoT, Kinesis, Kinesis Firehose and AWS Big Data environment
• Experience in architecting and implement Disaster Recovery/BCP requirements (including Multi-site/Active-Active).
• Experience in Mainframe Projects using COBOL, CICS, DB2, JCL, ADSO, IMS and MQ series.
• Experience in migration of Mainframe data to Datawarehouse
• Help customers choose cloud strategy adoption using Gartner’s 6 R’s guide; build POV’s and complete implementation / migration plan
• Experience with deploying solutions to cloud platforms E.g. AWS services: Spinning EC2 instances for Risk Modeling Tools and implemented Best practices to improve the Latency
• Deep understanding of cloud computing technologies, business drivers, and emerging computing trends (SaaS, IaaS, PaaS)

TECHNICAL SKILLS

Data Governance: Collibra DGC

Database: Teradata 12,Sql Server(2012, 2014 and 2016), Snowflake

Reporting: Cognos, BI, SSRS, Tableau

DI / DQ / ETL / ELT: Informatica 9.1, Pentaho, Ab initio, SSIS

Machine Learning: Rapid Miner, H20.io, Python, CNN …

CASE Tools: (ER Studio XE3 (Data Architect), Erwin 7.x / 4.x, Designer 9i / 6i

Big Data Platform: Cloudera 5.2 - HBase, Hive, Data Wrangling using Python, Pandas

Architecture Concepts: TOGAF 9.1, SOA, SaaS, PaaS, IaaS, Lambda

AWS Cloud: AWS ( EC2, Auto scaling, ECB, S3, EBS, EFS, AWS Storage Gateway, Amazon RDSAmazon cloud Watch), Cloud Adaption Framework (CAF) and Cloud Assessment Approach, Kinesis, Kinesis Firehose, EMR

Azure Cloud: Azure Data Factory V2, Azure Data lake Gen 2, Azure Synapse(Azure SQL)

Industry Products (COTS): RMS- RiskLink, IGLOO(Tower Watson, UK)

Mainframe: COBOL, JCL, CICS, IDMS, ADSO, IMS, TSO/ISPF, SPUFI, QMF, FILE-AID, XPEDITERCEDF, CLIST, REXX, Abend-Aid, QMF, Change Man, Syncsort, CA7

PROFESSIONAL EXPERIENCE

Delivery Manager / Sr Project Manager

Confidential

Responsibilities:

• Design Modern Data Platform to serve the needs of both Self Service BI and AI/ML for Indian Domestic Insurance Carrier. The Primary responsibilities are
• Perform the cloud Data Ware house/Data platform Readiness, based on the well defined consulting Framework to gather customer future vision on Self Service BI and Current Pain points in Data Collection for AI/ML
• Perform the AS-IS Analysis On-Prem Data Application with respect to Source Data Systems
• Perform GAP Analysis based on the Target state of Modern Data Platform and the AS-IS
• Designed the Reference Architecture for the Building the Data Lake and Data Warehouse using Azure Synapse and Power BI as Consumption layer
• Designed and implemented Data Model for Data lake and Data Ware house for Auto Insurance Warehouse (subject areas considered for phase 1 is Policy and Claims)
• Build the Azure Data Factory V2(ADF2) Data Pipelines for Data transfer from On Prem Oracle Systems to Azure Data Lake(ADL2) subsequently to DW on Synapse.

AWS Architect / Transition Manager

Confidential

Responsibilities:

• Project 1(Current Project): AWS Cloud Migration Project: primary responsibilities are
• Conducted AS-IS (On-Prem) and To-Be(Cloud) analysis, including but not limited to Gathering the asset inventory( Server Model, OS, RAM, Cores, CPUs, and Storage), Peak utilization of servers, Data Center Charges (Server, Storage, Licenses for OS, Database), current Storage along with Future Storage growth rate along with usage patterns of product across geo locations such as APAC(Japan, Australia, China etc..), EMEA(Mainly in Europe), AMER.
• Performed Cost Comparison between On-Prem (Data Center) and AWS. Identify year on year Cost savings/RoI considering the optimization levers like
• Conducted Feasibility study for dynamic Spin up and Spin down using Autoscaling, Creating custom AMI to reduce the Migration Cost
• Coordinated with AWS team for build of AMI for App servers, Workstations, Web Servers, Head Node in HPC for dynamic spin up.
• Defined the Data migration approach using S3, SnowBall. As the current system has around 1 PT of data (including the Product installation, Databases for different Risk Models). For PoC only 30-40 TB data is identified to move to AWS using SnowBall
• Defined and implemented the Backup and Recovery strategy for customer defined RTO and RPO
• Proactive Costing of the cloud environment and Management alerts are defined based on the threshold of the cost usages
• Design and Implemented Space Management strategies to minimize the SAN utilization and Cost on AWS Cloud
• Recommended Database on EC2 instead of RDS based on the available license
• Data Migration - Capital Modeling - Responsibilities

Sr Project Manager

Confidential

Responsibilities:

• Defined and Identified Metadata, Lay Out process for Metadata Collection
• Prepare Data Model in 3NF for Metadata Repository
• Define Governance Process, Define User Roles and Responsibilities
• Presentations internal marketing of product
• Analyzing the architecture of BIF
• POC & recommendation for different approach for BIF architecture
• Build POC