Data Specialist/integration Architect Resume
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Ann Arbor, MI
SUMMARY
- Looking for a technology leadership role, to be part of an energetic team to realize business strategy using appropriate technologies, leveraging 18 years of progressive IT experience in different industries that includes 12 years of leadership roles & 14+ years of Confidential Insurance experience
- Senior technology leader with client - first mindset, passionate about driving innovative data and business transformation thru data intelligence. People centric leader adept at building and mentoring high-performing global teams, engineering effective technology solutions for the analytical needs.
- Proven change agent with right mix of technology, processes and team culture to deliver tangible business value and improved efficiencies by leading large-scale agile data platforms.
TECHNICAL SKILLS
Technology & Strategy Consulting Information Architecture Data Architecture Master Data Management Solution Architecture Data Engineering Data Science Data Governance Business Intelligence Cloud Data Computing Advanced Analytics Data Accelerators Voluminous Data Technology Selection Enterprise Data Quality
PROFESSIONAL EXPERIENCE
Confidential, Ann Arbor, MI
Data Specialist/Integration Architect
Responsibilities:
- As the market leader in Confidential technology, Confidential Watson Health segment of Confidential providing tools and services designed to help derive intelligence insights from Confidential data.
- As part of the GHHS team, I led the following initiatives:
- Led the Data Warehouse (legacy & modern) practice. Adopted & established Data CoE with critical components of data solutions. Predicted the abundance of the reusable components across implementations. Strategized the thought process with the executive team of Watson Health GHHS department. Realized savings to the development & Operations effort up to 30 to 50%. Produced the billable cost benefit up to 25% (approximately $1M in Development and close to $2M in Operations) for new customers.
- Architected the Custom GHHS Data Governance system - GHHS Confidential insurance provider customers are data heavy & comes with the legacy data challenges over the period of time. Custom Data Governance patterns are built in the core data engineering pipeline that are developer friendly & quality efficient to customers.
- Pioneered & created a pool of reusable Data Architecture & Integration Architecture components with the implementation documentation.
- Composed the concept of injecting the powers of AI in the legacy Data Warehouse building process. Such as, dynamic & pre-built template based ETL process thru Python & Pandas framework.
- Implemented the Data Vault 2.0 principles over the less sustainable mid-layer of Data Engineering pipeline.
- Core influencer of building accelerators and optimizers to bring new school of thought to the traditional data practices.
- Engineered solutions using Informatica & Confidential Infosphere Information Server.
Confidential
Data Integration Consultant
Responsibilities:
- Architecture & implemented data solutions for various Confidential customers of USA, such as, Anthem, Confidential of Michigan and Confidential of Minnesota.
- Headed the Data Integration side of things for Anthem’s “EDWard” data platform which sourced data from 60+ disparate data providers.
- Accomplished timely delivery of integration solutions within 10 - 15% variation of initial budget.
- Designed & constructed custom-fit & cost efficient Master Data Management solution for Confidential Insurance Participant Domain.
- Facilitated & influenced the thought process of Unified Acquisition Design patterns at the logical & physical level to tackle the complexity of wide variety of data types & velocity of data providers.
- Strongly enforced the Enterprise Data patterns such as Operational efficiency through metadata handlers, quality gateways, and data governance to gain the confidence of data consumers.
- Proponent of smart performance enhancers during the DDI stage to resourcefully handle the Service Level Agreements that are sensitive to the ever-growing downstream data systems.
Confidential
BI & ETL Expert
Responsibilities:
- Performed the role of Business Intelligence specialist using the Cognos suite of tools & ETL using Informatica.
- Constructed effective BI & ETL patterns for customers such as Hewitt associates to in Confidential Confidential based ETL and Washington Mutual (acquired by Confidential Chase) to transform the legacy RDBMS based ETL process to the modern tech-stack using Informatica.
Consultant
Responsibilities:
- Architecture consulting for nation’s largest insurance provider to establish Data Engineering & Data Lake solution using Google Cloud Platform, predominantly with the components such as BigQuery, Cloud Dataflow and Talend for on-prem to cloud data integration.
- Architecture, Design & Development aid for innovative NLP platform on cloud for an urgent need of a customer in Asia Pacific region.
- Smart Voicebot that integrates the legacy IVR with the modern NLP techniques. Proposed & built proof of concept using hybrid cloud options, such as AWS stack for IVR, NLU (voice processing) Connect, Lex, Transcribe & Kore.AI for smarter & scalable NLP.