Data Engineering Expertise¶

$ data_engineering --list

Core Data Engineering Services¶

Data Pipeline Development¶

$ cat pipelines/README.md

- ETL/ELT Pipeline Design - Real-time Data Processing - Batch Processing Systems - Data Quality Monitoring - Data Governance Implementation - Python Automation
▸ Automated data validation workflows
▸ 40% reduction in manual effort
▸ Integrated with FastAPI/Flask

Big Data Solutions¶

$ cat big_data/README.md

- Hadoop Ecosystem Implementation - Spark Streaming Applications - Data Lake Architecture - Data Warehouse Solutions - Distributed Computing Systems

Cloud Data Platforms¶

$ cat cloud/README.md

- AWS Data Solutions (Redshift, Glue, EMR) - Google Cloud Data Services (BigQuery, Dataflow) - Azure Data Services (Synapse, Data Factory) - Snowflake Implementation - Databricks Platform - Production Deployments
▸ Dockerized data applications
▸ AWS EC2/EBS optimization
▸ CI/CD pipelines with Jenkins

Technology Stack¶

$ tech_stack --list

Data Processing¶

Apache Spark
Apache Flink
Apache Kafka
Apache Airflow
Prefect
Python Frameworks
▸ FastAPI/Flask APIs
▸ Pandas/Numpy for data manipulation

Storage Solutions¶

Amazon S3
Google Cloud Storage
Azure Data Lake
HDFS
Snowflake

Orchestration¶

Kubernetes
Docker
Terraform
Ansible
Jenkins

Case Studies¶

$ case_studies --show

Logistics Data Centralization¶

▸ Client: Logistics Platform
▸ Solution: Streamlit dashboard + ETL pipelines
▸ Tech: Python + MySQL + AWS S3
▸ Impact: Unified 15+ data sources

Financial Data Compliance¶

▸ Client: Fintech Startup
▸ Solution: GDPR workflow automation
▸ Tech: Flask + PostgreSQL
▸ Impact: 50% faster compliance checks

Cloud Migration¶

▸ Client: Medical Data Company
▸ Solution: 100TB+ data migration
▸ Tech: AWS Glue + S3
▸ Impact: 40% cost reduction

"Automated our data validation with perfect Python implementation. Documentation and reliability exceeded expectations."

Karim D. - Logistics Platform Founder