SUMMARY:

• Resourceful, driven, adaptive and result oriented enterprise data professional with 18+ years of experience in team leadership, product engineering and project management.
• Powerful blend of technology vision and business acumen that results into technology driven business impact.
• Strong strategic and long - range planning abilities; skilled in setting program/project and technology strategies in B2C and B2B environments.
• Diverse background covers all aspects of data/information management including data architecture, engineering, modeling, business intelligence, visualization and big data.
• Proven experience in managing delivery of large and complex data platforms in enterprise environment.
• Employs a mix of hands-on approach and collaborative techniques to bring projects to fruition.
• Strong hands on experience in enterprise applications, integration, databases, middleware, analytics.
• Lead several large global programs on data engineering, cloud adoption and application deployment/integration.
• Expert at agile delivery methodology in large and small teams.

TECHNOLOGIES:

Cloud: AWS, Azure, Pivotal Cloud Foundry

RDBMS and ETL: Oracle, Redshift, SQL Server, DB2, Informatica, Datastage and Pentaho ETL T ools

Big Data: Hadoop, Cassandra, MongoDB, Spark, Amazon EMR, HDInsight

Real Time Integration: Kafka

Infrastructure: VMWare and AWS

PROFESSIONAL EXPERIENCE:

Director ( Product Architect Big data)

Confidential

Responsibilities:

• Lead architecture and engineering of self service data discovery platform in a complex regulated environment. Delivered major release in first 6 months, implemented agile process for incremental release every month.
• Lead solutions and engineering of multi tenant Hadoop platform enabling data data and compute isolation at application level.
• Developed data security framework, identity and access mgmt solution integration with data platform utilizing platform API.
• Enabled data lake solution for line of business utilizing Hadoop and NoSQL technologies, generated 20M+ in savings of storage and licensing cost from traditional data warehousing vendors.
• Enabled advanced analytics and machine learning capabilities utilizing Spark on Hadoop, Greenplum, and Hbase,. Empowered business with next generation analytics tools including R and Python data science.
• Implemented agile processes and continuous delivery environment in data and analytics space. Built data delivery product teams, established agile processes .
• Responsible for architecture, engineering and cloud adoption, skill development and infrastructure build for low latency and batch data processes.
• Implementing compute framework on Confidential and cloud container engines, Data warehouse on AWS Redshift, EMR.

Confidential

Responsibilities:

• Formed data engineering competency group, established operational and agile delivery processes. Developed engineering recruitment and domain training program.
• Spearheaded architecture and software delivery of enterprise data platform. Enabled batch and real time analytics by streaming events data in global data warehouse utilizing hadoop, kafka and apache storm.
• Lead architecture and delivery of application integration platform, web api, mobile software and internet applications enabling seamless information between applications.
• Managed fleet of oracle and sql server databases as well as MQ platform. Drove operating cost down by consolidation and aggregation of databases and applications.
• Worked with CSO and developed strategies to implement data security, monitoring, auditing to satisfy regulatory requirements.
• Lead public cloud migration and moved data processing workload into AWS Redshift and migration of databases into RDS service.

Sr. Manager Application Architecture

Confidential, Los Angeles

Responsibilities:

• Lead implementation operational data store and data services api to support analytic driven workflow initiative.
• Lead design, development and rollout of mobile application that drives actionable analytics, integrated unified communication.
• Transformed subjective technology management processes into an objectively defined, measured, and implemented project portfolio system
• Implemented strategies to improve availability and reliability of databases and supporting application infrastructure

Principal Data Architect

Confidential

Responsibilities:

• Managed large data warehouse implementation program, lead Architecture and implementation of sales and service data mart and BI solution for automotive client.
• Aligned customer master data strategy with CRM application rollout. Lead architecture and modeling of Confidential and CRM integration.
• Lead client relationship, facilitated joint requirement gathering sessions and developed technology roadmap.
• Part of technology selection teams, developed selection criteria for ETL and BI tools.
• Developed scoring model for vendor comparison. Participated in RFP process.

Confidential

Responsibilities:

• Lead customization and implementation of supply chain module for manufacturing client.
• Built post implementation support model
• Managed Upgrades, enhancements and integration with downstream applications

Application and Data Architect

Confidential

Responsibilities:

• Lead design, development and implementation of data model, architecture and data security for unified messaging application.
• Lead large Oracle 9i database data migration. Migrating multiple large system databases into new optimized database infrastructure.
• Worked with marketing and sales to develop and author function specification for next generation product model.
• Lead development and implementation of various modules for large bill presentment and payment platform.
• Implemented data analytics and reporting backend for bill presentment utilization analytics.
• Leveraging modern big data platform and cloud compute to economically innovate on data. Bring actionable insights into business workflow.
• Harness power of fast and cheaper computing to provide near real time analytics driving proactive decision support.
• Automate data related testing to innovate faster and cheaper. Bring web scale testing into data integration and analytics.