Liza, Project Manager | Bench Resource on Contract

Liza (RID : qzycljz6y6zm)

Project Manager

Location : Hyderabad, India

Experience : 12 Year

Rate: $24 / Hourly

Availability : Immediate

Work From : Any

Category : Information Technology & Services

Shortlisted : 2

Total Views : 82

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

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