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.
Experience
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.
Specialization
Data warehousing
Data modeling
ETL development
Expertise
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