Afaque Ahmad — Product Manager
I eat codes for breakfast and I'm a data enthusiast. I love solving challenging algorithmic problems related to backend & data engineering bringing over 6 years of experience in this field. I've cracked interviews at Apple, Uber, Atlassian, Databricks As a Senior Data Engineer at QuantumBlack, AI by McKinsey, I collaborate and lead the development of cutting-edge Data & AI solutions for clients across Southeast Asia, focusing on advanced analytics & large-scale data infrastructure. My expertise includes building data lake solutions across AWS and Azure platforms, large scale feature engineering for data science use cases, and development of robust data quality frameworks. Notably, I have engineered data pipelines that seamlessly process over 50K+ orders daily, developed a comprehensive Customer360 feature store on Hadoop handling over ~TBs of data, designed and developed data quality dashboards to detect and report 15+ critical metrics for each dataset Additionally, my passion for knowledge sharing and community contribution is reflected through my active involvement in writing insightful blogs, producing educational videos related to data engineering on my YouTube channel and making significant open-source contributions, particularly for Kedro, as showcased in my Github portfolio Skills: • Programming Languages - Python, Scala, Shell • Processing - MapReduce, Spark • Storage / DWH / Databases - Snowflake, MySQL, Postgres, Hadoop, Hive • Cloud - AWS, Azure • Data Orchestration - Luigi, Airflow, Prefect, Mage • Server Monitoring/Maintenance - Nagios, Icinga2 • Proficient With Git, CI/CD, Docker, Linux Certifications: • AWS Certified Cloud Practitioner • Astronomer Certified Apache Airflow Fundamentals GitHub: https://github.com/afaqueahmad7117 YouTube Channel: https://www.youtube.com/channel/UCYFKQl9VMvtnUHxZ9uFx7qw Contact: afaque.ahmad@theseniorde.com
Stackforce AI infers this person is a Data Engineering expert in SaaS with a focus on large-scale data solutions.
Location: Singapore, Singapore
Experience: 7 yrs 9 mos
Skills
- Data Engineering
- Data Architecture
- Data Quality
Career Highlights
- Led development of data pipelines processing 50K+ orders daily.
- Engineered a Customer360 feature store handling over 1TB of data.
- Automated reporting processes, reducing manual efforts by 95%.
Work Experience
Databricks
Solutions Architect, Data & AI (1 yr 6 mos)
YouTube
Content Creator (Data Engineering) (2 yrs 10 mos)
QuantumBlack, AI by McKinsey
Principal (Jr.) Data Engineer (5 yrs 4 mos)
McKinsey & Company
Jr. Engagement Manager (JEM) (5 yrs 4 mos)
Urban Company
Data Engineer (11 mos)
Education
Master's Degree at National University of Singapore
Entrepreneurship Exchange Program at NUS Overseas Colleges
