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Big Data Processing

Location:
Parsippany, NJ, 07054
Posted:
April 17, 2024

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Resume:

Saurin Shah

** ********* **** - **********, ** **054

973-***-**** - ad42i1@r.postjobfree.com - linkedin.com/in/saurinshah-it

Director of Data Architecture

Team Leadership Data Warehousing Data Lake Solution Architecture Staff Development

Amazon Web Services Big Data Processing Resource Allocation Cloud Migration

A collaborative leader, skilled in spearheading large-scale projects, fostering cross-functional collaboration, and promoting a culture of data literacy. Strong communicator, able to convey complex concepts to non-technical stakeholders, with expertise spanning stakeholder relations, strategic planning, agile process management, business intelligence, customer experience enhancement, data architecture, and artificial intelligence. Orchestrates essential processes, crafts sophisticated models, and manages cutting-edge technologies to meet business objectives and market needs. Executes data solutions adhering to stringent security protocols and privacy laws to enhance efficiency and compliance.

Career Experience

NEXUSGEN, LLC 12/2023-Present

A Boutique IT Consulting Firm

Director, Data Services

Conquering big data processing, warehousing, governance, and standardization challenges. Migrating data to the cloud to roar with efficiency and insights.

Capital One, New York, NY 11/2022-10/2023

An American bank holding company specializing in credit cards and auto loans.

Senior Manager, Solution Architect

Reported to the director of data management. Collaborated with product and engineering teams to devise a sustainable data platform on AWS. Cultivated roadmaps for five cross-functional scrum teams. Partnered with architects, developers, and SMEs to originate a technical vision for new features and functionalities. Utilized a bottom-up approach to align business needs and capabilities with requirements. Collaborated with commercial banking architects to develop an AI-enabled cross-sell products recommendation engine.

Improved data processing 3.5 hours, from four hours to 30 minutes, to meet EIR (Enriched Information Reporting) reporting business requirements by redesigning and architecting processes.

Enhanced customer confidence and deposits by partnering with vendors, internal architects, and the development team to implement a flexible deposit strategy to distribute balances over $250,000 up to $200 million among partnering banks.

Fueled efficiency and effectiveness by guiding four domain architects.

Barclays, Whippany, NJ 09/2019-10/2022

A global financial services provider engaged in retail banking, credit cards, corporate and investment banking, and wealth management.

Vice President, Lead Big Data Architect

Facilitated the retirement of the legacy warehouse and technology stack upgrade. Ensured data and security regulatory compliance and created a scalable data lake by implementing a cloud-based data ingestion and processing system Constructed a cloud-native artificial intelligence and machine learning platform migration leveraging HP BlueData software and an on-premises Hadoop platform. Reported to the VP of enterprise data platform and led a team of three.

Garnered a $0.5 million expense reduction by migrating 200 TB of the data lake to the cloud and utilizing a Hadoop centralized repository to maintain the current footprint.

Tokenized 100% of sensitive data within one hour of data landing by providing a process.

Accomplished a 30% decrease in data latency and availability.

Prudential, Newark, NJ 09/2018-08/2019

A Fortune Global 500 company providing insurance, retirement planning, etc.

Staff Data Engineer

Reported to the director of data technologies and enhanced the Hadoop big data and data lake environments. Directed a team to craft a disaster recovery solution for the insurance processing and approval system. Transferred data from RDBMS to data lakes and streamlined access and analysis.

Processed 85% of application traffic for online insurance policy approval by designing a reliable AI system.

INTTRA, Parsippany, NJ 01/2016-08/2018

A global, multi-carrier network for the ocean shipping industry.

Senior Data Engineer

Partnered with the product development team to deliver daily customer booking data to third-party vendors. Reported to the director of data services. Designed a multimillion-dollar revenue-generating data product and enhanced BI platform utility. Managed a team of five and a $750,000 budget. Implemented robust ETL processes extracting data from legacy systems. Provided CORE technology to maintain and modernize reporting infrastructure in time-critical windows by CTO.

Reduced container idle time and operating costs by facilitating data feed for container tracking.

Slashed 50% of BI platform operating costs by developing ETL best practices for data migration projects with AWS technologies such as RDS, EC2, and data pipeline and using existing transformation code.

Achieved a 40% decrease in yearly data warehouse (DW) costs and a 10% income uptick by championing the transition from on-premises to cloud-based data solutions.

Boosted incremental revenue over three years.

Improved team productivity and collaboration through agile methods and performance tracking via Jira and GitHub for code management.

inVentiv Health, Somerset, NJ 03/2015-01/2016

A biopharmaceutical solutions organization creating better, faster ways to help clients navigate complex marketplace.

Extract, Transform, Load (ETL) Architect

Incorporated ETL processes tailored for fact and dimension tables. Reported to the senior director. Integrated roster management data into the DW and Oracle. Enhanced deployment capabilities of 500 sales staff. Devised custom attributes and integrated new customers by scrutinizing requirements and meeting client needs.

AT&T, Piscataway, NJ Pre-2008-01/2015

Principal - Extract, Transform, Load (ETL) Architect

Implemented ETL processes utilizing a comprehensive entity-relationship concept customized for fact and dimension tables. Directed a team of 12 data architects and developers instrumental in adding billing, address, and product information into the database. Reported to the director and enhanced reporting capabilities into big data DW.

Curtailed a million-fraud retail scheme by migrating data to the Aspect fraud detection system.

Expedited a 30% online transaction processing (OLTP) overhead reduction by converting the change data capture to an Oracle GoldenGate (CG) software package, improving efficiencies, quality, and reliability of analytics for business reporting.

Education & Professional Development

Wharton School of the University of Pennsylvania

Chief Technology Officer Executive Education

Sardar Patel University

Master of Science in Computer Application

Bachelor of Science in Computer Science

Amazon Web Services (AWS), Certified Data Analytics

Teradata Corporation, Teradata Application Design & Development, SQL Specialist Certification

Technical Proficiencies

Cloud Computing Services: Amazon Redshift, Relational Database Service (RDS), DynamoDB, Lambda, Elastic Compute Cloud (EC2), Simple Storage Service (S3), Sage Maker, Elastic MapReduce (EMR), Kinesis, Firehouse

Databases: Postgres, Teradata, ORACLE, Greenplum, Athena, Salesforce

Data Modeling and Reporting: Erwin Data Modeler (ERWIN), Tableau, Business Objects

Extract, Transform, Load (ETL) Tools: Informatica PowerCenter, Dell Boomi, Oracle Data Integrator (ODI), AWS Glue, AWS Lake Formation

Data Processing and Analytics: Apache Spark, Hadoop, Pig, Hive, Sqoop, Kafka

Operating Systems & Programming Languages: Python, Linux, UNIX, SQL, COBOL

Scheduling Tools: Tivoli Workload Scheduler (TWS), CA Workload Automation AE (Autosys)

Zoom, Teams, Asana, Spectrum GitHub, Apache Subversion (SVN)



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