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Data Engineer


Here's who I am & what I do

Atif has 7+ years of expertise in Python, SQL, ETL, AWS, and Hadoop. He designs, develops and implements data-driven solutions for complex business problems.

Atif is a skilled and experienced data development professional with over 7 years of experience in the field. He has expertise in a range of technical tools and programming languages including Python, SQL, ETL, AWS, and Hadoop. With a strong foundation in data analysis and data warehousing, He has demonstrated the ability to design, develop and implement data-driven solutions to complex business problems. His experience includes designing and managing data pipelines, developing data models, building and optimizing data warehouses, and collaborating with cross-functional teams to drive business outcomes.



  • Demonstrated expertise in designing and developing data pipelines for ETL processes, including building custom scripts and integrating with third-party tools. For example, led the development of a data pipeline to extract customer information from a legacy database and transform it into a modern cloud-based data warehouse using Python and AWS Glue.

  • Extensive experience with SQL, data modeling, and database design, including optimizing database performance and ensuring data integrity. Implemented a new data model for a client's CRM system that improved query performance by 50% and reduced data redundancy by 75%.

  • Proven ability to build scalable and reliable data architectures using cloud-based services such as AWS and Azure, including designing and implementing distributed systems and managing data security and compliance. Architected a real-time data ingestion system using Kafka and Spark Streaming that processed over 10 million events per day with sub-second latency.

  • Proven track record of collaborating with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet their requirements. Worked with a marketing team to build a data-driven segmentation model using machine learning algorithms, resulting in a 20% increase in customer engagement.


  • Data warehousing

  • Data modeling

  • ETL development


  • Databases: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB

  • ETL Tools: Informatica, DataStage, Talend, SSIS

  • Big Data Technologies: Hadoop, Hive, Pig, Spark, Kafka, Flume

  • Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform

  • Programming Languages: Java, Python, SQL, PL/SQL

  • BI and Reporting Tools: Tableau, Power BI, OBIEE

  • Other Tools: Git, JIRA, Confluence

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