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