Abdul Quddus

I am a skilled data-savvy proficient Data Scientist having expertise in Data Engineering and Machine Learning with 7+ years of experience in building and managing data pipelines, ETL, ML processes, and cloud-based solutions. My expertise lies in data extraction, transformation, and loading (ETL/ELT), ensuring seamless data integration across multiple platforms. I have extensive experience with cloud services like AWS, GCP, and Azure, where I utilize tools such as AWS Glue, S3, Sagemaker, RDS, Redshift, Lambda, EC2, ECS, EKS, and Azure's Databricks, Databases, Data Factory for data management and analysis.

Proficient in SQL and Python, I specialize in optimizing databases, designing data pipelines, and delivering insights using Power BI and Tableau. My goal is to enable organizations to unlock actionable insights from their data while maintaining scalability and performance.

Key Skills:

➤ Data Engineering: Data extraction, Transformation, and Loading (ETL/ELT), Data Pipelines, Data Scraping

➤ Cloud Expertise: AWS (Sagemaker, EC2, EKS, ECS, Lambda, Glue, Redshift, RDS, S3, Step Functions, Athena), GCP (DataProc, BigQuery, Cloud Functions), Azure (Blob Storage, SQL Database, Databricks, Data Factory)

➤ Programming & Databases: Python, R, SQL, MySQL, PostgreSQL, Redshift, BigQuery,

➤ Data Visualization: Power BI, Tableau, AWS QuickSight, Looker, Data Studio

➤ Data Warehousing: Snowflake, DBT, Airflow, Apache, Hadoop, Kafka

➤ Other Tools: Jira, Slack, Github, Bitbucket, Confluence, Asana, Trello

Further, I'll provide 24/7 support.