Satyasheel S
Senior Data Platform Engineer (R&D)
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSatyasheel S is a Senior Data Platform Engineer with 11 years of experience building production-grade data and analytics platforms across cloud environments in London. He has led cross-functional teams and designed scalable pipelines using technologies such as Apache Flink, Kafka, Spark, Prefect, and Terraform while ensuring robust monitoring and SLO-driven operations. At Quantexa he introduced and led the Python API design for core solutions and later managed fraud and anti-human-trafficking analytics at scale for a major financial institution. A practical open-source contributor to Apache Airflow, he improved type coverage across numerous provider integrations, reflecting a focus on maintainability and reliability. His background pairs an MSc in Machine Learning with hands-on experience across R&D, real-time and batch systems, and mentoring engineering teams to productionise complex data products.
11 years of coding experience
8 years of employment as a software developer
Master of Science (MSc) Machine Learning, Master of Science (MSc) Machine Learning at Royal Holloway, University of LondonLoyola High School, PatnaBachelor of Engineering (BE) Electronics and Communications Engineering, Bachelor of Engineering (BE) Electronics and Communications Engineering at Birla Institute of Technology, Mesra
Hindi, English
Stackoverflow
950reputation
100kreached
19answers
3questions
google-cloud-platform
top-5%
Github Skills (21)
apache-airflow10
python10
typehinting10
computer-engineering10
type-checking10
google-cloud-platform9
workflow-engine9
etl9
orchestration9
orchestra9
data-engineering8
sql7
data-integration7
airflow-scheduler6
spring-cloud-gcp6
Programming languages (5)
Github contributions (5)
apache/airflow
Nov 2017 - Feb 2021
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Backend Developer
Backend DeveloperContributions:23 reviews, 15 PRs, 43 comments in 3 years 3 months
Contributions summary:Satyasheel primarily focused on increasing type coverage across various providers within the Apache Airflow ecosystem. They added type hints to hooks, sensors, and operators for different services like FTP, Salesforce, IMAP, Snowflake, Oracle, and others. This involved modifying existing code in Python to incorporate type annotations, improving code maintainability and reducing potential runtime errors. These contributions enhanced the code quality and reliability of multiple provider integrations.
monitorpythonschedulerapacheprogrammatically
mlgruby/dotfile
Jan 2016 - Sep 2022
Contributions:100 pushes, 3 branches in 6 years 8 months
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