* Lead Snowflake's Professional Services (PS) US Southeast Region solutions consultants and architects, providing guidance and support to ensure successful engagements.* Develop and execute strategies to drive healthy customer consumption, retention, and satisfaction.* Identify and develop customer use cases to expand Snowflake consumption with key customer accounts.* Collaborate with Sales, Product Management, Engineering, and Support teams to ensure customer success.* Establish and track key performance metrics (e.g, billable utilization, retention, CSAT, etc.) to evaluate team performance and identify areas for improvement.* Act as a point of escalation for complex customer challenge, working closely with internal teams to ensure timely resolution.* Foster a culture of continuous learning and development within the PS US Southeast Region team.* Build strong technical champions across the team, leveraging that expertise to assist solution consultants and architects across PS.* Review and revise draft PS deals to ensure scope, tasks, duration, risks, costs are accurately estimated.* Serve as a senior, trusted Snowflake technical advisor to Snowflake customers.

* Served as a senior, trusted Snowflake technical advisor to Snowflake customers.* Deployed Snowflake following best practices, including knowledge transfer so that customers were properly enabled and able to extend the capabilities of Snowflake.* Worked hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology* Maintained deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them* Worked with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments* Provided guidance on how to resolve customer-specific technical challenges* Supported other members of the Professional Services team to develop their expertise* Collaborated with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

* Helped Dremio’s customers rapidly obtain value from the Dremio data lake engine platform, e.g. hands-on work to install, size, and tune the software, * Worked with customer’s IT and data engineers to connect Dremio to customers’ data sources and optimize data lake queries.* Performed training for customers’ IT, data engineers, data scientists, and end users on how to best use Dremio for their unique workflows. Technical Environment: AWS, Azure, Dremio, Hadoop.

Director* Led teams in the delivery of Hitachi's Lumada Manufacturing Insights IoT product – the anomaly detection and prediction analytic that provided digital twin and machine learning (ML) services with a deployable ML model.Industrial IoT Solution Architect* Developed & delivered industrial IoT / big data / data warehouse / business intelligence customer solutions and proof of concept (POC) prototypes on prem and in the cloud.* Performed sales engineering tasks.Pentaho Solution Architect* Provided solution architecture technical assistance to aid strategic customers.* Coordinated sales, product management, marketing, support, and services groups at strategic customers to ensure success.* Wrote Pentaho best practices documents to help customers solve complex challenges.Technical Environment: AWS, Azure, Druid, Kafka, Manufacturing Insights, Pentaho (PDI), RabbitMQ, Lumada, AMQP, MQTT (Mosquitto), Cassandra, + other technologies.

* Worked iteratively with business & IT professionals to develop blended, data-centric solutions using open source/proprietary hybrid technology stacks.* Developed data pipelines to present data from a multitude of sources - PeopleSoft, SAP, JDE, custom RDBMS, flat files; Big Data​: (Hadoop - HDFS, Hive, HBase), Cassandra, NoSQL, etc.* Developed affordable, incrementally deployed business intelligence modules that integrated data from heterogeneous sources.* Managed multiple, concurrent high-performance teams, clients, and projects.* Performed pre-sales tasks to close business intelligence deals.* Created a business intelligence "data cloud"​ solution that utilized Amazon EC2 and S3.Interesting Projects* Designed a business intelligence product (health care claims) for a large health insurance company - database design, data pipeline, OLAP cubes.* Built a data pipeline solution for a large Insurance company that interfaced with IBM MDM product using Informatica.* Created a claims data mart - data pipelines, reports - for a provider of healthcare diagnostics point-of-care products (Pentaho, PostgreSQL).* Designed and built a business intelligence solution for a service industry client using Oracle, Pentaho.* Designed and built a business intelligence add-on product for a power industry client using Oracle, Pentaho.* Delivered an order 2 cash data warehouse for large consumer products manufacturer using SAP R3, Informatica, Oracle, Cognos.* Architected a web analytics business intelligence solution for large volume commercial web site using MySQL, Pentaho.* Delivered a Marketing Analytics Solution for Medical Marketing Company using MySQL, Pentaho.Technical Environment: Amazon EC2 Data Cloud, Informatica PowerCenter 8.6, MySQL 5.1, Oracle 10g R2, Pentaho.

* Led distributed reporting and development teams (NYC, SF, QC) for a leading software as a service (SaaS) company.* Designed a multi-source, multi-lingual, dimensional hybrid analytics Cloud-based system to measure the recruiting business process.* Created Business Intelligence (BI) layer object requirements.* Designed data pipeline requirements, developed data pipelines.* Worked closely with marketing, product strategy, production dba, development dba and other groups.Technical Environment: Oracle 10g R2 Database (Oracle Streams, partitioning), Oracle Warehouse Builder (OWB), Business Objects XI R2, Sybase Power Designer.

* Led the Enterprise Warehouse (EW) ESA and Customer Relationship Management (CRM) teams.* Designed and built dimensional data models to support PeopleSoft Enterprise Services Automation (ESA) and Human Capital Management (HCM) pillars.* Designed and built business intelligence (BI) layer objects using Business Objects, Discoverer, and MicroStrategy tool sets. * Designed data pipeline matrices to source data from JDE & PeopleSoft.* Developed a data pipleline transformation matrix web application prototype to define and coordinate work between data engineers (onshore and offshore) and database designers (onshore). * Developed a real-time, message-based, DW prototype using Oracle Warehouse Builder (OWB) and Oracle Discoverer.Technical Environment: AllFusion ERwin, Ascential DataStage, Ascential MetaStage, Business Objects, Microstrategy, Oracle 10g Database, Oracle Warehouse Builder (OWB), Oracle Discoverer, Oracle jdeveloper, MicroSoft SQL Server.

* Worked with senior decision-makers at a large pharmaceutical retail chain to design a multi-terabyte, integrated Enterprise Data Warehouse (EDW) system.* Worked with the data warehouse team to optimize legacy data warehouse objects (e.g., modified partitioning, added materialized views, bitmap indices, dimensions, query rewrite, etc.).* Implemented fraud detection and market basket / affinity analysis to reduce fraudulent prescriptions and improve store sales (respectively).Software Engineering Methodology: Informatica Velocity, Ralph Kimball's Business Dimensional Lifecycle. Technical Environment: All Fusion ERwin, Microstrategy, Oracle 8i/9i.

* Performed the analysis, design, and construction of a data warehouse system. *Defined requirements; designed and built the DW staging areas, star schemas, OLAP cubes, and data pipelines. * System included multi-source, multi-lingual data originating from several international offices and systems (custom + JDE). * Redesigned and developed the data extract and transformation system for an existing Operational Data Store (ODS) using Informatica PowerMart.Software Engineering Methodology: Informatica VelocityTechnical Environment: Informatica PowerMart 6.1, ERwin 4.0, Oracle 8i, Cognos BI Suite (series 6).

* Led a team of 3 developers in the analysis, design and construction of a data extract and transformation system (Informatica PowerCenter). The complex DW source system environment consisted of a wide variety of relational and non-relational data sources. * Responsible for working with business users to establish Oracle Discoverer business areas related to the DW. * Performed the administration of Oracle Express databases (OLAP cubes) in the DW.Software Engineering Methodology: Informatica Velocity; Intermedia System Development Life Cycle (SDLC).Technical Environment: Informatica Power Center 4.6, Oracle 8i, Oracle Discoverer 3.1, Oracle Express 6.3, ERwin 3.5.2, Microsoft SQL Server 6.5/7.0.

Led teams in various Army Reserve and Army National Guard units. Branched Armor, then Infantry.

* Team leader, data modeler, data engineer on a variety of OLTP (integration) and data warehouse data modeling / database design projects. * Used tools such as ERwin, Composer, and Informatica PowerMart. Worked in secondary mortgage and student loan industries (private and government data).Software Engineering Methodology: Price Waterhouse & PricewaterhouseCoopers software developmenet methodologies.Technical Environment: Informatica PowerMart 4.5, Sybase ASE 11, ERwin, Composer, Brio.

Worked on a variety of IT engagements; performed data modeling (system integration) and quality assurance (desktop software) testing roles. Industries included real estate and financial planning software.