Vamsi Goriparthi
Innovative, Strategic & Collaborative Data Leader in Retail, Banking & Insurance industries
- Role
- Senior Technology Leader, Data Services at Transamerica
- Location
- Denver, CO, US
- LinkedIn followers
- 500 followers
About Vamsi Goriparthi
Highly accomplished and visionary leader in an ever-evolving technology landscape with a track record of inspiring excellence, creating team culture based on performance and innovation. A dynamic strategist who is highly adaptable to current trends of disruptive technologies. Dedicated to creating a smarter workforce by encouraging and supporting non-status quo thinking, directness, transparency and improving sustainability in this ever-changing data landscape. An enthusiast who possesses a commitment for defining pragmatic but powerful strategies for long term success of the organization. Expertise in designing and building enterprise data architecture & strategy, data engineering, large scale data ingestions, data modeling and program management for retail, banking, and insurance industries. Extensive exposure to translating complex business requirements into proven technology solutions, especially around data intense use cases requiring data pipelines and data integrations to enable advanced analytics. Having deep insights into Big Data eco system especially designing enterprise data lakes, data warehouses and distributed data processing platforms to improve data analytical outcomes that leverage cloud platform (AWS & Azure) and services. Expertise: • Data Lakes, Data Warehousing, Data Integration, Data Migration, Data Quality, Data Profiling • BI Reporting and Advanced Analytics • Data Security, Data Governance, Data Privacy & Compliance (CCPA, GDPR, NYDFS etc,) • Data Modeling (OLAP & NoSQL DB modeling) • Databases (Relational & Non-relational) • Cloud platforms (AWS & Azure) • Big Data Framework (Batch & Real time) • Automation Framework (DevOps, DataOps, DataSecOps) • Agile Framework (SAFe) Tools & Technologies: Languages : SQL, UNIX, Python, R AWS : IAM, S3, EC2, EMR, RDS, DynamoDB, Data Migration Service, Athena, Glue, Redshift, QuickSight Azure : Virtual Machines, Data Lake Store, CosmosDB, Data Lake Analytics, Synapse Analytics, Data Factory, Power BI Hadoop : Hive, Pig, Sqoop, Spark ETL Tools : Abinitio, Informatica, SQL Server Integration Services(SSIS) BI Tools : Microstrategy, Hyperion Brio, Tableau, SQL Server Reporting Services(SSRS) Databases : Oracle, DB2, Teradata, Netezza, Microsoft SQL Server Orchestration : Airflow, Tidal, Control-M, Maestro, Autosys
Experience
Senior Technology Leader, Data Services
Apr 2019 — Present · Denver, CO, US
As a \"hands-on\" senior data leader, I am responsible for data strategy, roadmap, architecture, execution, and end to end delivery of data products and solutions within Transamerica Individual Division. • Provides leadership and direction to department personnel from lower-level managers, technical leads to non-exempt employees. • Architect, build, and support the operation of Cloud (AWS) and On-Premises enterprise data infrastructure, applications, and tools. • Design robust, reusable, and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data. • Lead the development of data APIs and data delivery services to support critical operational processes, analytical models, and machine learning applications. • Work collaboratively with enterprise architects, data scientists, analytics teams, and business product owners in an agile environment. • Lead the selection and integration of data related tools, frameworks and applications required to expand our platform capabilities. • Provided guidance and assistance to various compliance and security teams to remediate security gaps, software, and hardware vulnerabilities to meet regulatory requirements such as NYDFS, CCPA etc, • Proactively research new technologies and performed proof of concepts tools and processes to drive the delivery of roadmap across both data assets hosted on cloud and on-prem. Environment: AWS (S3, EC2, EMR, RDS, DynamoDB, Data Migration Service, Athena, Glue, Redshift, QuickSight), SQL, UNIX, Java, Python, Scala, Microsoft Azure, Apache Airflow, Mainframe, AS400, Oracle, Netezza, Microsoft SQL server (SSIS, SSAS, SSRS), Informatica, Erwin, Control-M, Tableau, Collibra, Qlik Replicate (formerly Attunity Replicate), BigID, Service-Now, JIRA
Education
Illinois Institute of Technology
Master of Science, Electrical and Computer Engineering
2004 — 2006
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