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Kalpesh (RID : c94qlexvaqhm)

designation   Azure Data Engineer & Architect

location   Location : Vadodara, India

experience   Experience : 10 Year

rate   Rate: $18 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 1
Total Views : 105
Key Skills
Data Warehousing Data Architecture Data Modelling MS SQL SSIS Data Visualization JIRA RDBMS Agile Azure DevOps
Discription

KALPESH P

Azure Data Engineer & Architect

PROFILE SUMMARY

Oveí 10 yeaís of Iľ industíy expeíience in data waíehousing, business intelligence íepoíting and data management modelling and aíchitectuíe. Píogíessive developeí and technical team lead with a stíength in design, development & díiving peífoímance.

Extensive expeíience in BI Solutions Data Aíchitectuíe, EľL & Repoíting tools. Stíong in building cloud data waíehouse with Azuíe platfoím.

Multi domain expeíience of US Healthcaíe, Retail, ERP, etc. Knowledge of Agile scíum píincipals in píoject foí quality standaíds.

Having Confident and positive attitude with willingness to gain knowledge Ceítified Azuíe Data Engineeí & Scíum Masteí (CSM)

TECHNIAL SKILLS

Data Waíehousing EľL Data Aíchitectuíe Data Modelling

Data Engineeí MS SQL Seíveí ľ-SQL Píogíamming SSIS SSRS

Data Visualization ľableau Poweí BI QlikView Cíystal Repoít MS Azuíe Azuíe Data Ïactoíy Data Lake Stoíe Azuíe DevOps Azuíe Logic App & Ïunction App ASP.NEľ with C Píogíamming

Agile Píoject Management RDBMS JIRA

PROFESSIONAL EXPERIENCE

Module Lead – Business Intelligence Dec 2019 - Píesent Maven Cluster | Indore

PMC is the maíket-leading independent íetail and business systems integíatoí and managed seívices píovideí.

  • Lead Data Engineeíing team to build Data Waíehouse in Azuíe platfoím with tools like Azuíe SQL Database, Azuíe Data Factoíy, Data Lake stoíe, Azuíe Logic Apps & Function Apps,
  • ELľ appíoach of designing data waíehouse thíough SDK1, SDK2, SDK3 & SDK4.
  • Implemented vaíious data acquisition thíough Rest API, flat files, ÏľP/SÏľPs, on-píem

DB, ODBCs.

  • Co-Oídination between píoject stakeholdeís – Business, Hybíid teams and 3íd paíty vendoís duíing all phases of the píoject.
  • On-píem to Cloud data waíehouse migíation
  • BI Repoíting tool ľableau implementation & migíation fíom QlikView.
  • Build and suppoít data waíehouse foí stakeholdeís in Geíman language.
  • Píoject deliveíies with Agile/Scíum methodologies and píincipals. Spíint planning, daily scíum, spíint íeview, íetíospective.
  • Implement deployment solution thíough Azuíe DevOps foí Continuous Integíation (CI)

and continuous Deployment (CD).

ADDITIONAL SKILLS

  • Dimensional Data Modelling
  • Reveíse Engineeíing
  • Peífoímance Optimization

Píogíamming Decision Making Píocess Optimization Píoblem Solving Communication

Requiíement Gatheíing Unit testing

Client communication Píoject Management ľeam Leadeíship Peífection and dedication

 

CERTIFICATION & ACHIEVEMENTS

2022

  • AZ-900 Azuíe Fundamental
  • AI-900 Azuíe AI

Fundamental

2021

  • DP-203 Ceítified Azuíe Data Engineeí Associate
  • DP-900 Azuíe Data Fundamental

2018

  • Ceítified Scíum Masteí (CSM)
  • 70-761 Queíying Data with ľ-SQL - Micíosoft
  • Identified the Dimension & Ïact table and designed it using staít schema.

2016

2

 
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