Saikat Sarker
About Saikat Sarker
Saikat Sarker is a Data Engineer with extensive experience in cloud and legacy data platforms. He has worked for various companies, including Robi Axiata Limited and Avenue Code, and possesses skills in Python, PySpark, and data analysis.
Work at Avenue Code
Saikat Sarker has been employed at Avenue Code as a Data Engineer since 2020. His role involves utilizing his expertise in data ingestion, management, and curation across various cloud platforms. He has contributed to multiple data engineering projects while practicing Agile methodologies, specifically Scrum and Kanban.
Previous Experience in Data Engineering
Before joining Avenue Code, Saikat Sarker worked in several prominent organizations. He served as a Data Engineer and Developer at Robi Axiata Limited from 2012 to 2015. He also held the position of GCP Big Data Specialist at TELUS Business for five months in 2020 and worked at CAE as a Data Engineer for six months in the same year. Additionally, he was a Big Data Developer & Engineer at banglalink from 2017 to 2019.
Education and Expertise
Saikat Sarker completed his Bachelor of Engineering (B.Eng.) at Shahjalal University of Science and Technology from 2002 to 2007. He also achieved his Higher Secondary Certificate (HSC) from Momenshahi Cantonment Public School & College between 1999 and 2001, and his Secondary School Certificate (SSC) from Mukul Niketon High School from 1988 to 1999. His expertise includes data ingestion, management, and curation across cloud platforms such as GCP, AWS, and Azure.
Background in Business Intelligence
Saikat Sarker has a background in Business Intelligence, having worked as a BI Data Analyst at Robi Axiata Limited from 2015 to 2017. In this role, he gained experience in data analysis and machine learning, enhancing his skills in data engineering and analytics.
Technical Skills and Methodologies
Saikat Sarker possesses strong technical skills in Python and PySpark, which he applies in his data engineering tasks. He is well-versed in Agile methodologies, particularly Scrum and Kanban, which he employs to manage and execute data engineering projects effectively.