I will do data engineering, data analytics projects
Full Stack Developer, Data Engineer
About this Gig
I am a Data Engineer and Data Analyst specializing in building scalable, production-ready data pipelines and data-driven solutions. I design, develop, and automate ETL/ELT workflows that transform raw data into actionable insights, leveraging cloud platforms and modern tools to enable efficient data processing at scale.
Skills & Technologies
ETL & Pipelines: Python, PySpark, Pandas, Apache Airflow, NiFi, Kafka, RabbitMQ, AWS Glue, Dataflow, Azure Data Factory
Data Storage: Amazon Redshift, Snowflake, BigQuery, SQL & NoSQL (MongoDB, Cassandra, Elasticsearch)
Data Integration & Reporting: API-based ingestion, automated dashboards (Tableau, Power BI, custom)
Cloud Platforms: AWS, Google Cloud, Azure
Data Analysis & ML: Data cleaning (Pandas, NumPy), visualization (Matplotlib, Seaborn), ML/DL (Scikit-learn, TensorFlow, PyTorch), model deployment (MLflow, Docker, Kubernetes, CI/CD)
Services I Offer
Data Pipeline Automation & Optimization
Cloud-based Data Engineering Solutions
Data Warehouse & Data Lake Setup
Real-time Streaming & Messaging (Kafka, RabbitMQ)
Reporting & Dashboard Integration
Database Design & Performance Tuning
FAQ
What kind of data engineering projects do you handle?
I work on all types of data engineering projects including ETL/ELT pipeline development, data warehouse and lake setup, real-time streaming, cloud data platform integration, and automation of data workflows.
Which cloud platforms and tools do you specialize in?
I specialize in AWS, Azure, Google Cloud, Databricks, Snowflake, Apache Airflow, Kafka, NiFi, and related data engineering technologies.
Can you work with my existing data infrastructure?
Absolutely! I can optimize, extend, or rebuild existing data pipelines and infrastructure to improve performance and scalability.
Do you provide data analysis and machine learning services?
Yes, I offer data analyzing, cleaning, visualization, and ML model development and deployment to complement your data engineering pipelines.
How do you ensure data pipeline reliability and monitoring?
I implement automated testing, error handling, alerting, and monitoring using tools like Airflow, CloudWatch, and custom dashboards.
How do you handle sensitive data and security compliance?
I follow best practices for encryption, access control, and compliance with standards such as GDPR and HIPAA where applicable.
