Abdullatif

Built solutions that help clients make data based decisions and track their progress.
Worked with Azure mostly.
Worked with GCP.
Worked with AWS.
Worked comfortably with Python and Javascript.
Worked with front end tools.
Helped create a system that brings together information about a client's market industry based on multiple data sources.
Helped create well written articles and updates for the market industry to share with users through their platform using AI.

At Merkle, I worked as a Junior Data Engineer where I built solutions to help clients make data-informed decisions and track progress. I worked mostly with Azure and gained experience with GCP and AWS as well.

Worked with large data sets from multiple client sources to build an automated system that compiled industry articles and updates using AI
Gained hands-on experience with big data tools to aggregate, process, analyze, and visualize data to see insights
Developed ETL data pipelines to migrate data from a variety of databases and applications into data warehouses
Built cloud-based data solutions leveraging services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
Wrote SQL queries to transform data stored in cloud data platforms
Gained Python skills using libraries like Pandas to process, structure, and analyze raw data
Used statistical analysis and modeling techniques to identify data trends and patterns
Collaborated cross-functionally with stakeholders to identify business needs and requirements

Provided initial technical assistance.
Provided telephone support.
Provided email support.
Provided online support.
Kept track of and responded to problems with PCs, servers, laptops, and portable electronics.
Supported Windows operating systems such as 7, 8, and 10.
Provided remote assistance using Team Viewer in compliance with organisational requirements.
Used new hardware and software following configuration and testing.
Handled challenging issues.
Provided exceptional customer service.