Data Engineer

Summary

Data Engineer with 2 years of experience in building and optimizing data pipelines, ETL processes, and business intelligence solutions. Skilled in data modeling, cloud platforms, and big data technologies, with expertise in Python, R, C#, SQL, and Power BI. Recent MSc in Data Science, with strong knowledge of machine learning, statistical modeling, and data analysis. Proven ability to extract insights from large datasets, optimize processes, and drive business outcomes. Strong problem-solving and communication skills, adept at collaborating with technical and non-technical teams.

Expectations

In my new role as a Data Engineer, I expect to work in a dynamic and collaborative environment where I can apply and expand my skills in building and optimizing data pipelines. I look forward to working with modern cloud platforms, tools like Azure Data Factory, Databricks, and PySpark, and contributing to the development of scalable data solutions that support data-driven decision-making. I'm excited about the opportunity to continuously learn, tackle complex data challenges, and work alongside a talented team to create impactful business insights through data engineering best practices.

Employment Preferences

Expected Base Salary

**,000 GBP

Expected Hourly Rate

** GBP/hr

Academic Degree

Experience

Skills

• Scripting
• Python
• R
• SQL
• C#
• Data Engineering
• Apache Spark
• SSIS
• Data Modeling
• Airflow
• Kafka
• Data Warehousing
• Statistical Analysis
• Data Pre-Processing
• Cleaning
• Predictive Modeling
• Visualization
• Power BI
• Matplotlib
• Seaborn
• Plotly
• Computer Vision
• Tensorflow
• Keras
• PyTorch
• YOLO V8
• GANs
• Machine Learning
• ARM
• Decision Trees
• Random Forest
• SVM
• ARIMA
• LSTM
• Deep Learning
• RNN
• CNN
• ANN
• NLP
• BERT
• Transformers
• Cloud
• Azure Data Factory
• Azure SQL
• Databricks
• Cosmos DB
• AWS SageMaker
• Excel
• CSS
• HTML
• Flask
• FastAPI