
Dinesh Kumar
Bangalore, India
Dinesh Kumar
Data Science
Category : Data base
I have Expertise in Apache Airflow (DAGs), SQL-based ETL pipelines, and data integration across multiple sources, with strong experience in workflow automation, scheduling, and monitoring.
Proficient in SQL, Python, ETL Pipelines, MLflow, Data & model versioning, and AWS concepts, with hands-on experience in building scalable solutions for business users.
Core Expertise:
✔ Data Engineering & ETL Pipeline Development
✔ Apache Airflow DAG Development & Workflow Automation
✔ SQL Development & Query Optimization
✔ Data Integration (APIs, Databases, Files, SAP)
✔ Power BI & Apache Superset Dashboards
✔ Machine Learning Pipelines & MLOps
✔ Python (Pandas, NumPy, Scikit-learn)
✔ AWS Deployment (EC2, S3)
✔ Streamlit Applications & Reporting Tools
What I Can Help You With:
Build scalable ETL/ELT pipelines
Automate data workflows with Apache Airflow
Create dashboards and reporting systems
Optimize SQL queries and database performance
Build ML pipelines and data processing workflows
Deploy analytics applications on AWS
Design business intelligence solutions for actionable insights
Proficient in SQL, Python, ETL Pipelines, MLflow, Data & model versioning, and AWS concepts, with hands-on experience in building scalable solutions for business users.
Core Expertise:
✔ Data Engineering & ETL Pipeline Development
✔ Apache Airflow DAG Development & Workflow Automation
✔ SQL Development & Query Optimization
✔ Data Integration (APIs, Databases, Files, SAP)
✔ Power BI & Apache Superset Dashboards
✔ Machine Learning Pipelines & MLOps
✔ Python (Pandas, NumPy, Scikit-learn)
✔ AWS Deployment (EC2, S3)
✔ Streamlit Applications & Reporting Tools
What I Can Help You With:
Build scalable ETL/ELT pipelines
Automate data workflows with Apache Airflow
Create dashboards and reporting systems
Optimize SQL queries and database performance
Build ML pipelines and data processing workflows
Deploy analytics applications on AWS
Design business intelligence solutions for actionable insights
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
- 🇬🇧 English
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