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Snowflake Consultant Resume

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Fremont, CA

SUMMARY:

  • Data is an energy source, data analytic is an engine, understanding data leads to better design, time - value of data - create services, data products, revenue model using data science & analytics
  • Strong business function expertise in Supply chain, Inventory Management, Finance, Partner Channel Management, Sales & Marketing with Hi-tech, CPG, Retail verticals, Solar & Genomics
  • End to end BIG DATA engineering, Architecture and Delivery
  • BI/ EDW application engineering, Architecture and Analytics
  • Business & Technical Consulting skills - Concurrent engagement initiation, Architecture, planning, scoping, scheduling, resourcing, budget, finance, deliverables, milestone tracking, estimation, sizing, risk, change, governance & escalation management.
  • Adherence to SLA, SLO, SOW, CR, illustrative status communication to CxO management, Steering Committee, PMO and Managed Service Providers & been as Service Provider.

EXPERTISE:

  • Data Engineering
  • Modern Enterprise BI & EDW
  • Enterprise Architecture, Solution
  • Data Strategy, MDM, Data Modeling, Schema Design
  • Business/Customer Engagement
  • Project/Program Delivery Mgmt.
  • Global (matrix) Team Management
  • Software Engineering, SDLC, Agile-Scrum, ITIL-ITSM
  • End to End data life cycle Mgmt.

SKILL:

  • Snowflake, SnowSQL, Snowpipe
  • Redshift, BigQuery
  • Hadoop HDFS
  • Spark, Spark SQL, Python, Pyspark
  • AWS Lambda
  • High-Tech, CPG, Retail, Construction, SaaS, Genome & Solar
  • Sales, Marketing, Supply Chain & Finance

PROFESSIONAL EXPERIENCE:

Confidential, Fremont, CA

Snowflake Consultant

Responsibilities:

  • Practicing consulting on Snowflake Data Platform Solution Architecture, Design, Development and deployment focused to bring the data driven culture across the enterprises
  • Driving replacing every other data platform technology using Snowflake with lowest TCO with no compromise on performance, quality and scalability.
  • Building solutions once for all with no band-aid approach.
  • Core Technologies: End to end data platform with Snowflake, Matillion, Power BI, Qubole, Databricks, Tableau, Looker, Python, Data Iku & R
  • Technology evaluations and PoCs: Attunity, WhereScape, Alooma, FiveTran, Talend, Informatica with Snowflake
  • Snowflake data platform deployed at High Tech - Networking (Juniper Networks), Retail (Netezza migration PetCo), Construction (WebCor), Many Snowflake POCs - SaaS (ServiceNow), Parking Data (Parkimon)
  • Power BI on MS SQL (Ohio Medicals), Power BI & Tableau on Snowflake (WebCor), Cloudera Hadoop & SAP Vora POC (ServiceNow)

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