I will develop automated etl pipelines and data processing solutions
Certified Data Scientist, ML Engineer and GenAI LLM Expert
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Build Scalable ETL Pipelines & AI-Ready Data Solutions
Need clean, reliable, and production-ready data for analytics, machine learning, or AI applications? I develop scalable Python ETL/ELT pipelines that automate data extraction, transformation, validation, and loading from multiple sources.
With 8+ years of Python experience and a Master's in Data Science, I deliver efficient data engineering solutions for businesses, startups, and AI projects.
Services Include:
- Python ETL & ELT Pipelines
- Data Cleaning & Validation
- Data Transformation & Feature Engineering
- SQL & NoSQL Integration
- API & Web Data Extraction
- Automated Data Pipelines
- Data Quality Checks
- AI & ML Ready Datasets
- Cloud Storage Integration
- Documentation & Deployment Support
Whether you're preparing data for dashboards, analytics, machine learning, or Generative AI applications, I'll build secure, scalable, and maintainable solutions tailored to your needs.
Please contact me before placing an order so we can discuss the best architecture for your project.
Programming language:
Python
•
R
•
SQL
•
Colab
Tools:
Jupyter Notebook
•
Excel
•
Colab
•
Other
Technology:
Python
•
scikit-learn
•
Colab
•
Jupyter Notebook
•
Pandas
•
Excel
FAQ
What types of data sources can you work with?
I can process data from CSV, Excel, JSON, XML, SQL databases, APIs, cloud storage, and web sources.
Can you automate recurring ETL jobs?
Yes. I can build scheduled and automated ETL pipelines that run daily, hourly, or on custom schedules.
Which technologies do you use?
Python, Pandas, Polars, SQL, Apache Spark (when required), FastAPI, Docker, cloud services, and modern ETL practices.
Can you prepare data for AI and Machine Learning?
Absolutely. I specialize in creating AI-ready datasets with feature engineering, preprocessing, validation, and quality checks.
Do you integrate cloud platforms?
Yes. I can work with Google Cloud, AWS, Azure, cloud databases, object storage, and REST APIs.
Will I receive the source code?
Yes. You'll receive clean, documented, production-ready source code with setup instructions.
Do you support big datasets?
Yes. I can optimize pipelines for large datasets using efficient processing techniques and scalable architectures.
Why should I contact you before ordering?
Every data pipeline has unique requirements. A quick discussion helps define the right architecture, timeline, and package before development begins.
