Imaz Faiyazi — Software Engineer
I have over 7+ years of experience, with rich expertise in leading and contributing across multiple phases of Cloud, Big Data, Spark, Consulting, and Data Analytics in domains such as Retail, BFSI, CPG, Marketing, and more. I collaborate and lead the development of cutting-edge Data solutions for clients across multiple regions, focusing on advanced analytics and large-scale data infrastructure. My expertise includes building data lake solutions across AWS and Azure platforms, and the development of robust data quality frameworks. Notably, I have engineered streaming data pipelines that seamlessly process over ~ billion's of records, developed a comprehensive feature store on Delta Lake over ~TBs of data, and designed and developed over 20+ business dashboards to detect and report critical metrics for each dataset. Skills: • Programming Languages - Python, Shell • Processing - MapReduce, Spark • Storage / DWH / Databases - Snowflake, TSQL, Hive • Cloud - AWS, Azure • Data Orchestration - Airflow, ADF • Streaming & Platforms – Kafka, Databricks • BI & Visualization – Power BI, Tableau
Stackforce AI infers this person is a Cloud and Big Data Engineer with expertise in analytics and data infrastructure.
Location: Bengaluru, Karnataka, India
Experience: 7 yrs 7 mos
Career Highlights
- 7+ years in Cloud and Big Data solutions.
- Expert in building data lakes on AWS and Azure.
- Engineered streaming data pipelines processing billions of records.
Work Experience
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Software Development Engineer-3 (1 yr)
Fractal
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Infogain
Data Engineer (1 yr 2 mos)
Publicis Sapient
Senior Associate Technology L1 (5 mos)
Associate Technology L1 (2 yrs 6 mos)
Education
Bachelor of Technology - BTech at Mahatma Jyotiba Phule Rohilkhand University