Reports disagree because every team pulls data differently
03 / Services / Data Engineering
Data EngineeringGive your data direction.
Scalable data engineering that turns raw data into reliable pipelines, structured systems and actionable business insights.
01 / The problem
What usuallygets in the way.
Connect scattered sources into dependable pipelines, so the data your team needs is modelled, tested and ready to use.
Manual exports and spreadsheets hold critical workflows together
Pipelines break silently and nobody notices until a decision is wrong
02 / What I build
Capabilitiesin this service.
01ETL/ELT Pipelines
Design scalable ETL and ELT workflows that clean, transform, validate, and prepare data for reporting, analytics, machine learning, and downstream applications.
02Data Warehousing & Storage
Create structured data storage solutions using warehouses, databases, and cloud platforms that support performance, scalability, and long-term business needs.
03Real-Time & Batch Processing
Develop systems for both streaming and scheduled data workflows so businesses can process information efficiently based on speed, scale, and operational requirements.
04Analytics-Ready Data Systems
Prepare business data for dashboards, reporting, BI tools, operational insights, and decision support by building clean, consistent, and analysis-ready datasets.
05Data Quality, Security & Reliability
Implement validation, monitoring, access control, logging, and reliability practices to ensure your data systems remain accurate, secure, and dependable.
- Source-to-warehouse pipelines with tests and alerts
- A clear data model and documentation
- Scheduled, observable jobs your team can maintain
03 / How it works
From sources to trusted tables
A typical architecture for this kind of work. Scroll to follow the flow, or hover a stage for detail.
Sources
Apps, APIs, files and databases, inventoried with owners.
Ingestion
Incremental loads that can be replayed safely.
Validation
Schema and freshness checks before data moves on.
Transformation
Tested models that turn raw records into business entities.
Warehouse
One governed place for analytics and AI to read from.
Serving
Dashboards, reverse ETL and features for downstream systems.
04 / In depth
The details.
Data Engineering Services
Build scalable data engineering solutions that transform raw data into reliable pipelines, structured systems, and actionable business insights. I help businesses design modern data workflows for analytics, automation, reporting, and AI-ready infrastructure.
My Expertise in Data Engineering
I specialize in building custom data engineering solutions for businesses across healthcare, legal tech, e-commerce, SaaS, and other data-driven industries. My work combines data pipelines, ETL/ELT workflows, storage systems, cloud infrastructure, and analytics enablement to help organizations collect, process, and use data more effectively at scale.
- 📥 Data Ingestion & Integration
- 🔄 ETL/ELT Pipelines
- 🗄️ Data Warehousing & Storage
- ⚡ Real-Time & Batch Processing
- 📊 Analytics-Ready Data Systems
- 🛡️ Data Quality, Security & Reliability
Data Ingestion & Integration
Build reliable pipelines that collect data from APIs, databases, files, webhooks, and third-party platforms to create a unified and accessible data foundation.
My Expertise in Data & AI Industry
From raw data to AI-powered decisions - I help businesses implement end-to-end machine learning workflows, analytics dashboards, and automation pipelines.
Hire MeRemote Data & AI Solutions
I’m a freelance Data Science and ML Engineer with 7+ years of experience transforming data into actionable insights. I specialize in building intelligent solutions, custom ML models, and scalable pipelines for startups and SMEs worldwide.
- United States (Remote Projects)
- Germany (AI Consultancy)
- EUROPE (Remote Projects)
- Remote - Available Worldwide
You Can find me here
As an independent Data & AI Engineer, I help companies unlock the full potential of their data. From predictive analytics to workflow automation, I offer strategic and technical support that drives real impact.
Book Free Consultation View Portfolio05 / Tech stack
Tools I usefor this work.
- Python
- SQL
- dbt
- Airflow
- Snowflake
- BigQuery
- AWS
More in Data Engineering
06 / Related work
Proof,not promises.
Open source
End-to-End MLOps ClassificationAWS + FastAPI + CI/CD
End-to-End MLOps Pipeline with CI/CD & Production Monitoring Data Ingestion → Training → Deployment → Monitoring
- FastAPI
- Docker
- CI/CD
- GitHub Actions
- +4
Open source
Uber Data Engineering ETL Project
End-to-End Data Engineering on Google Cloud Platform ETL Orchestration | BigQuery Analytics | Real-Time Reporting
- Python
- GCP
- BigQuery
- Mage.ai
- +4
Client work
Full Stack Developer at Naked Media
Naked Media React | Gatsby.js | Spring | Kafka | SOA Architecture
- Node.js
- React
- React Native
- JavaScript
- +5
Bird Disease Classification (MLOps)
Built an end-to-end deep learning MLOps pipeline for bird disease classification using TensorFlow/Keras, PyTorch, OpenCV for image processing, FastAPI for model serving, and Docker for containerization. Implemented automated training pipelines, model versioning, and deployment workflows.
U.S. Visa Approval Prediction (MLOps)
Developed a complete MLOps pipeline for visa approval prediction using Python, FastAPI, Docker, AWS (EC2, ECR, S3), XGBoost, and CatBoost. Implemented automated model training, versioning, deployment, and monitoring with CI/CD integration for production-grade machine learning.
Uber Data Analytics Pipeline
Built a robust time-series forecasting solution with over 90% accuracy using Python and statistical modeling.It enabled a growing online retailer to better manage inventory, reduce overstock, and forecast seasonal demand shifts.
CareSage - RAG Medical Chatbot
Developed an intelligent medical chatbot using Retrieval-Augmented Generation (RAG) with Flask, LangChain, Pinecone vector database, OpenAI embeddings, and sentence-transformers. The system processes medical PDFs using PyPDF to provide accurate, context-aware responses for healthcare queries with citation support.
n8n Workflow Automation
Built 8 comprehensive automation workflows using n8n platform integrated with Retell AI, GoHighLevel, Twilio, OpenAI GPT-4, and PostgreSQL. Projects included AI Voice Agent for customer service, Multi-Channel Communication Hub, Lead Qualification System, CRM Sync Automation, Content Generation Pipeline, Customer Onboarding Workflow, Voice-Based Appointment Scheduler, and BI Reporting Dashboard.
Data Engineering
Need Data Engineering?Let’s scope it together.
Tell me about the goal, the data and the constraints. I’ll reply with questions and a practical first step.