I will do data engineering, build etl or elt pipelines in AWS cloud via python, mysql
Pakistan
27 orders completed
Your Full Stack Data Scientist and AI Expert
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Hello,
Are you looking for a data expert who can design and automate reliable data pipelines in AWS Cloud using Python and MySQL? I specialize in delivering end-to-end solutions across data engineering, data science, and analytics.
About Me:
With hands-on experience in building scalable ETL/ELT pipelines in AWS Cloud that collect, clean, and transform data from diverse sources into structured, analysis-ready formats. I also develop predictive models and perform advanced analytics to help businesses make data-driven decisions.
Services I Offer:
- Data Engineering: I will build data pipelines (ETL/ELT) to process your data from databases and files, ensuring data is organized and ready for analysis.
- Data Science: I develop predictive machine learning models for forecasting and do in-depth statistical analysis.
Technologies I Work With:
- AWS Cloud
- SQL, Python, Apache Spark
- Power BI, Tableau
- Tensorflow, Scikit-learn, Pytorch
- SSIS, KNIME, RapidMiner
WHY WORK WITH ME?
- End-to-end, production-ready solutions
- Clean, modular, and scalable pipeline design
- Attention to data quality, governance, and performance
- Clear communication, full post-delivery support
My Portfolio
FAQ
Can you build an ETL pipeline for my business?
Yes, I specialize in building custom, scalable ETL and ELT pipelines to automate data extraction from sources like databases and APIs, transformation for quality, and loading into data warehouses like Snowflake or BigQuery.
Do you create interactive Power BI or Tableau dashboards?
Absolutely. I develop interactive Power BI and Tableau dashboards that turn your data into actionable insights for tracking KPIs and business performance.
What is involved in your data science service?
My data science service includes Predictive Analytics, Statistical Analysis, and Exploratory Data Analysis (EDA) to identify trends, along with a detailed report of key findings and clear, impactful visualizations to communicate results effectively.
Can you develop machine learning & Deep Learning models?
Yes. I can build and deploy machine learning & deep learning models for prediction, classification, forecasting, or clustering, using libraries like Scikit-learn, TensorFlow, and PyTorch.
What file formats do you support for data processing?
I work with a variety of file formats including CSV, JSON, Excel, XML, and Parquet. I can also help you convert and optimize your data for use in cloud-based data lakes or warehouses.
How do you ensure data quality in your data engineering projects?
I ensure data quality through rigorous validation checks within the pipeline, adherence to data governance principles, and designing for data reliability and consistency from the ground up.
Will you provide documentation and support after delivery?
Yes, I provide clean documentation with every project. Premium packages also include post-delivery support, so you can confidently manage and scale your data pipelines.
What tools and technologies do you use in data engineering projects?
I use AWS, Azure, Databricks, Apache Spark, SQL, Python, Airflow, and Snowflake, among others. I select the right stack based on your project’s requirements and existing infrastructure.

