SUMMARY

• Accomplished IT management executive and thought leader with more than 22 years of deep data and analytics experience. Proven change leader in leading companies through Digital & Data transformation
• Love data and have the ability to transform analytics and insights into action and creativity, and also be able to clearly communicate the entire story to different stakeholders.
• Accomplished leader with a can - do attitude, proactive, forward thinking and ability to get things done. A mentor who inspires confidence in employees by empowering them to maximize organization performance and respecting them for their accomplishments.
• Successful in building data management and data governance capabilities and improving quality and value of critical business data to meet regulatory requirements and drive growth agenda.
• Expert in defining data strategies, data governance/data quality management/cloud strategies and migration/big data analytics/visual story telling/AI & ML data model and strategies
• Managed large project teams and known for high-quality deliverables that meet or exceed timeline and budgetary targets.

TECHNICAL SKILLS

Hadoop Distributions: Hortonworks (HDP 1.x, 2.1.2, 2.2.6, 2.5.x and 2.6.x), Cloudera (CDH 4.7.1 - 5.4.x)

Big Data/Data Warehouse Tools: Apache Kafka, Kafka Stream, Gobblin, Apache Hive, Apache Spark, Apache Airflow, Apache Storm, Zookeeper, Azkaban, Ambari, Cloudera Manager, Apache Zeppelin, Apache YARN, Apache Beam, Google DataProc, Google DataFlow

ML Tools: TensorFlow, KubeFlow

Data Governance/ETL Tools: Informatica, Talend (Talend Catalog Manager)

NoSQL Database: HBASE, Cassandra, MongoDB, Google Big Table

Cloud Technologies: Amazon Web Services (EC2, ECS, S3, EMR), Google Cloud Platform (GCP), Microsoft Azure

Cloud Infrastructure Automation Tools: Terraform, Puppet, Ansible, Chef, Google Cloud Deployment Manager

Container Technology: Cloud Foundry, Docker, Kubernetes (Openshift/OKD 3.10)

Metrics Systems: logstash, Graphite, Statsd, Ganglia, Grafana, Prometheus, Alert Manager

Reporting/Analytics/Visualization Tools: Tableau Desktop, Tableau Server, SAP Business Objects, Crystal Reports, Google Analytics, Adobe Analytics

Database/Data Warehouse: Teradata, Oracle, SQL Server, IBM DB2 UDB, MySQL, RedShift, Google Big Query

Programming: JAVA, Python, Scala, GO

ITIL Process: Incident, Problem, Change and SLA Management

Web Servers/Middleware: Apache HTTP server, Apache Tomcat, Websphere Application server

Operating Systems: Windows, Linux (Red Hat, Centos, Ubuntu)

PROFESSIONAL EXPERIENCE

Confidential, Burbank, CA

Google Cloud Platform Consultant

Responsibilities:

• Migrated n-tiered workloads from on-prem and other clouds to GCP with near-zero-downtime This includes full spectrum of lift and shift to complete re-platforming scenarios
• Build hybrid-cloud solutions based on Anthos and containerization technologies using Docker and Kubernetes
• Lead technical design sessions, architecting and documenting technical solutions that are aligned with client business objectives, and identifying gaps between the client's current and desired end states
• Strategizing, designing, architecting and leading the deployment of scalable solutions on GCP
• Worked with product owners, business SME and data ingestion and reporting architects to identify requirements and consolidate enterprise data model
• Supported and Influenced projects/initiatives and drive decisions related to data acquisition, processing and utilization through Big Data Platform
• Setting up VPCs in the Google Cloud and linked to on-premise VPN’s using IPSec
• Responsible for setting up GCP’s cloud identity and access management (IAM) to manage users, roles and privileges
• Responsible for creating data pipelines to ingest data into BigQuery using Cloud Pub/Sub and Cloud DataFlow
• Created data pipelines using PYTHON and SQL that consume and transform the end customer’s data received in CSV format and feed it downstream to various data sources including Google BigQuery.

Confidential, Buena Park, CA

Director, Data Governance and Data Management

Responsibilities:

• Define data strategies and drive towards a new vision of data governance and stewardship. Identified data stewards and build the data governance committee to turn plans into action.
• Responsible for creating a centrally governed Data Catalog of trusted data using Talend Data Catalog manager (Metadata Explorer and Metadata Manager)
• Enable Single Source of Truth for Confidential and Financial data, harnessing the power of big data & technology to accelerate cross channel effectiveness in the digital age and aggressively growing brand preference
• Partner with cross functional teams across the company to deliver on the data and digital transformation vision and mission
• Consult and manage relationships with external clients and partners, evangelize and champion analytics internally and externally
• Build, retain and lead a multi-disciplinary data team, plus specialized vendors and agency partner resources
• Build data management capabilities and improve quality and value of critical business data to drive Confidential and Financials growth agenda
• Build and maintained metadata management/data catalog combining business metadata, technical metadata and operational metadata in a web based interface for the end users
• Established strong business partnerships throughout the enterprise which enabled the automation of multiple work streams eliminating manual processes increasing cost avoidance/saving opportunities and enterprise efficiencies while driving down operational expenses.
• Recruited, hired, trained, and retained top talent, serving as a mentor and coach. Motivated teams to exceed expectations. Created organizational structure that promoted employee engagement and advancement.
• Build relationships with key regulatory and risk counterparts to anticipate and respond to changes in policy
• Implement core analytics and business intelligence, business performance, automation (AI: Robotics) and advanced analytical capabilities (AI: ML) for all lines of business and functions
• Ensure delivery, implementation, and adoption of key data-related initiatives
• Ensure the integrity, security, and confidentiality of customer information
• Worked closely with all C-level executives to draft, design and implement the companies vision to “know your customer” and promote/suggest products as they shop.
• Championed data center migration from on premise to GCP and migrated data warehouse from Teradata to Google big query and data visualization using Tableau.
• Lead the Tableau migration project from On-Prem to GCP and also upgrading Tableau to version 2019.4
• Automated Item Master attributes using 1WorldSync GDSN datapool.

Confidential

Business Intelligence

Responsibilities:

• Worked with requirements analysts and users to determine business information requirements, create logical data designs and collaborate with design groups for final design and implementation.
• Develop, maintain, and document data standards, guidelines, procedures and best practices that were used across various data warehousing, ETL and reporting projects.
• Responsible for building logical and physical data and process models that were used to implement data warehousing systems.
• Worked closely with client stakeholders including senior executives to gather key business requirements (KBRs) and understand key performance indicators (KPIs) for their business.
• Reviewed existing architecture/design and recommended proper sizing and architecture that best suites the enterprise wide solution.
• Architect and lead various small and large scale data warehousing and reporting projects. Worked with various IT team members in designing and implementing the database, ETL and reporting layers.
• Built and lead the business intelligence competency center for WB. Organized various CRM and Super User conferences to educate and promote BI.
• Lead teams across broad technical, financial and business disciplines. Focused teams on business objectives and tracked progress to ensure project milestones were completed on time, on budget and with the desired results.
• Responsible for project lifecycle development, methodology documentation, quality control, change management and governance.
• Properly managed resource allocations, budgets, timelines, and project tasks.
• Responsible for software maintenance and lead various migration projects to newer platforms in order to meet the support and licensing requirements.
• Managed vendor supported operational team. Responsible for the day-to-day operations for the highly complex BI environment.
• Responsible for functional requirement gathering, designing logical and physical data model using ERWIN, created ETL mappings, workflows and sessions using Informatica, responsible for end user report creation using Business Objects and data visualization dashboards using Tableau Desktop.
• Technical lead for various migration projects (BO6.5 to BOXIR2, BOXIR2 to BOXI3.1 and from BOXI3.1 to BO4.1). Sizing, Installing, Configuring and Administering the BO enterprise servers.
• Developed adhoc and reporting universes using BO Designer (setting universe parameters, classes, objects, joins, hierarchies, etc.).
• Installation and configuration of Tableau Server Cluster (Primary, Worker, Backup Primary) and its processes (VizQL Server, Application Server, Data Server, Data Engine, Background Tasks, and Repository).
• Generated Tableau dashboards with combination charts. Used custom SQL connections, context filters, quick filters, sets, parameters and calculated fields within Tableau reports to facilitate automated data visualizations.
• Compiled interactive dashboards in Tableau Desktop and published them to Tableau Server which allowed story telling behind the sales and distribution data for WHV and Television products.
• Developed and reviewed custom SQL queries with use of joins clauses (inner, left, right) in Tableau desktop to validate and reconcile data. Troubleshoot and optimize Tableau dashboard and workbooks for performance improvements.
• Performed super user trainings in Basic and Advanced Tableau Desktop. Participated and organized various super user symposiums to promote the usage of Tableau.

Environment: SAP BW7.x, SAP R/3 ECC, SAP CRM, SQL Server 2005/2008, Oracle 11i/10g, DB2 UDB 7.2/8.0/9.x, Teradata R12/13/14, Business Objects 5i/6.5.x/XIR1/R2/R3.1/4.0, Crystal Reports 2008/2011, Crystal Enterprise, SAP BPC 10, SAP HANA 1.0, SAP HANA Studio 1.0, SAP Data Services 4.x/3/x, VBA Macros, PL/SQL, Stored Procedures, ER/Studio, Rapid SQL, TOAD, Erwin, Orsyp scheduler, Microsoft SharePoint 2010, HP Quality Center, ITSM, Tableau Server 7.x/8.x, Tableau Desktop 7.x/8.x, Tableau Reader 7.x/8.x