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Liza (RID : qzycljz6y6zm)

designation   Project Manager

location   Location : Hyderabad, India

experience   Experience : 12 Year

rate   Rate: $24 / Hourly

Availability   Availability : Immediate

Work From   Work From : Any

designation   Category : Information Technology & Services

Shortlisted : 2
Total Views : 114
Key Skills
Oracle SQL AWS Lambda Jenkins Data Pipeline Visual Studio Snowflake JSON Scrum Azure AWS
Discription

Liza

Project Manager | Data Specialist | Scrum Master | Azure | AWS

To join an organization as Project Manager/ Lead Data Engineer to use my experience and expertise in various Data warehousing On-prem and cloud technologies for the betterment of the organization, and in the process also achieve personal and professional refinement.

12+ years of experience across

Data Warehousing | Azure | AWS | ETL Testing | ETL Development | Scrum Master

PROFESSIONAL EXPERIENCE

Data Specialist – Deltacubes Technology April ‘22 – Present

Tools: Oracle SQL Server Developer, Snowflake, Airflow, AWS, Amazon EC2, Amazon S3,Lambda,Visual Studio,Jenkin,Data Pipeline,Batch jobs,

Team: 5 team members (Scrum model)

Data Engineer:

  • Develop different AWS services, including API, RDS instance, and Lambda to build serverless applications.
  • Work jointly with the IT team and other departments to migrate web applications to AWS.
  • Ability to integrate multiple data sources into a single snowflake database. Understanding of Snowflake cloud technology.
  • Experience with Snowflake cloud data warehouse and AWS S3 bucket for integrating data from multiple source system which include loading nested JSON formatted data into snowflake table.
  • In-depth understanding of Data Warehouse/ODS, ETL concept and modelling structure principles.
  • Build the Logical and Physical data model for snowflake as per the changes required.
  • Experience in building Snow pipe.
  • Develop SQL queries.
  • Coding for Stored Procedures/ Triggers.
  • Hands-on experience with Amazon EC2, Amazon S3, Lambda and other services of the AWS family.

Project Manager:

  • Facilitate meetings (daily scrum, sprint planning, sprint demo and retrospective)
  • Shielding the team
  • Conflict resolutions and enforcing rules
  • Coaching Agile\Scrum practices and principals
  • Tight grip on Agile estimation, planning and forecasting
  • Removing impediments/roadblocks
  • Creating communication channel (team, Product owner, stakeholder)
  • Servant leader
  • Agile retrospective

Data Specialist Brillio Technologies May ‘21 – March ‘22

Client: Zoetis - Bangalore

Tools: Power BI, Azure Data Factory, Azure Databricks, Azure Datalake, Azure Synapse Analytics, Azure Analysis Services, Jira, Oracle, Visual Studio,SQL Server Developer

Team: 10 team members (Scrum model)

Data Specialist:

  • Develop, construct, test and maintain architectures.
  • Align architecture with business requirements.
  • Data acquisition
  • Develop data set processes.
  • Build complex Azure data factory pipelines & dataflows.
  • Use programming language and tools.
  • Identify ways to improve data reliability, efficiency and quality.
  • Conduct research for industry and business questions
  • Use large data sets to address business issues.
  • Deploy sophisticated analytics programs, machine learning and statistical methods.
  • Prepare data for predictive and prescriptive modelling.
  • Find hidden patterns using data.
  • Deliver updates to stakeholders based on analytics.

Data Engineer UST Global Sept ‘20 – May’21

Client: Hanes - Bangalore

Tools: Oracle SQL Server Developer, Power BI, Azure Data Factory, Azure Databricks, Azure Datalake, Azure Synapse Analytics, Azure Analysis Services, Target Process, Snowflake, AWS, Amazon EC2, Amazon S3,Lambda,Visual Studio

Team: 5 team members (Scrum model)

Data Engineer:

  • Develop different AWS services, including API, RDS instance, and Lambda to build serverless applications.
  • Work jointly with the IT team and other departments to migrate web applications to AWS.
  • Ability to integrate multiple data sources into a single snowflake database. Understanding of Snowflake cloud technology.
  • Experience with Snowflake cloud data warehouse and AWS S3 bucket for integrating data from multiple source system which include loading nested JSON formatted data into snowflake table.
  • In-depth understanding of Data Warehouse/ODS, ETL concept and modelling structure principles.
  • Build the Logical and Physical data model for snowflake as per the changes required.
  • Experience in building
 
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