Shamad Ali Sayyed
About Shamad Ali Sayyed
Shamad Ali Sayyed is a Senior Data Engineer at Fannie Mae with over 11 years of experience in data engineering, specializing in the healthcare and financial sectors.
Current Position at Fannie Mae
Shamad Ali Sayyed holds the position of Senior Data Engineer at Fannie Mae, based in the Washington DC-Baltimore Area. The role involves a hybrid work setting, combining on-site and remote work. At Fannie Mae, Shamad contributes to data engineering initiatives that support the company's mission in the financial sector.
Previous Employment
Shamad Ali Sayyed has a rich work history with significant experience in notable companies. From 2020 to 2021, he worked as a Senior Data Engineer at Walmart in Rogers, Arkansas, United States, also in a hybrid setting. Prior to that, he served as a Data Engineer and Hadoop Developer at FINRA from 2018 to 2019 in Rockville, Maryland. He also contributed to Albertsons as a Hadoop Developer from 2017 to 2018 in Pleasanton, California. Early in his career, Shamad was a Data Analyst at Indian Oil Corp Limited in Hyderabad, Telangana, India, from 2012 to 2016.
Education and Expertise
Shamad Ali Sayyed completed his Bachelor's degree in Electrical, Electronics, and Communications Engineering at Nagarjuna College Of Engineering and Technology from 2008 to 2012. His expertise spans across 11 years in Data Engineering, particularly in the healthcare and financial/banking sectors. He is proficient in Hadoop architecture and components including YARN, HDFS, Name Node, Data Node, Job Tracker, Application Master, Resource Manager, Task Tracker, and MapReduce.
Technology Proficiency
Shamad Ali Sayyed possesses advanced skills in various data engineering tools and technologies. He has led seamless migrations of on-premise ETL processes to Google Cloud Platform using tools like BigQuery, Cloud Data Proc, Cloud Storage, Cloud Composer, Data Flow, Pub/Sub, and Cloud SQL. Additionally, he is experienced with AWS technologies, including S3, Glue, EMR, Redshift, Neptune, and RDS. Furthermore, he has expertise in creating, debugging, scheduling, and monitoring jobs with Airflow, as well as building and deploying applications using Docker, Jenkins, and OpenShift.
Data Visualization Skills
Shamad Ali Sayyed is proficient in using data visualization tools such as SAS Visual Analytics, Tableau, and Power BI. These skills enable him to present data insights effectively, supporting data-driven decision-making within organizations.