I am a motivated and accomplished data engineer consultant with a bachelor's degree and a strong technical background in Python, SQL, PySpark, Databricks, Airflow, and Azure. Skilled in designing and implementing scalabl…
I am a motivated and accomplished data engineer consultant with a bachelor's degree and a strong technical background in Python, SQL, PySpark, Databricks, Airflow, and Azure. Skilled in designing and implementing scalable data solutions, optimizing data pipelines, and leveraging cloud technologies to drive business value. Additionally, experienced in training and managing a small support team to ensure seamless operations and client satisfaction. Adept at collaborating with cross-functional teams to deliver high-quality results and solve complex data engineering challenges. Committed to staying ahead of the latest industry trends and continuously enhancing technical skills to deliver innovative and efficient data solutions.
Design and implement scalable data pipelines using Python, SQL, and PySpark to process and transform large volumes of data.
Optimize data workflows, improve data quality, and ensure efficient data processing for analytical and reporting purposes.
Collaborate with data scientists and analysts to define data requirements, perform data modeling, and enable advanced analytics and machine learning capabilities.
Utilize cloud technologies, particularly Azure, to develop and deploy data solutions, including data lakes, data warehouses, and real-time data streaming pipelines.
Conduct performance tuning and optimization of Spark jobs, enhancing query performance and reducing processing time for critical data processes.
Work closely with clients to understand their business objectives and translate them into technical requirements, delivering customized data engineering solutions to meet their specific needs.
Train and manage a small support team, providing guidance, support, and ensuring smooth operations and client satisfaction.
Consultant work. Work with customers to design and implement data solutions.
SDK tek is a Microsoft partner so we use a lot of azure products from data factory to databricks. Currently we are building out Microsoft fabric solutions.
Worked in a startup environment independently to create an Energy Auditing App for customers to see how their building performs and possible savings.
Worked as a data scientist, front and back-end software developer, systems engineer, database administrator and researcher.
Identified and adjusted models of buildings and homes to properly predict how electrical and gas usage would vary with outside factors.
Implemented algorithms and models into the system through AWS Lambda so numbers can be calculated automatically.
Created HTML pages for a Flask base application and moved to create more of a back-end structure with databases and organization.
Created the database layout and helped make database connections.
Found and implemented specific auditing calculations that would help the models predict accurate numbers that could be displayed to the customer.
This position taught many important skills that will stay throughout the career.
Created presentations that would help kids get through a module.
Used code blocks to solve a problem that was presented on the board.
Explained problems in a simple and precise manner.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
