Shauk Hassan
@shaukhassan1
Results-driven Data Engineer with expertise in Big Data technologies.
What I'm looking for
I am a results-driven Data Engineer with over 10 years of experience in data analytics, engineering, and ETL/ELT across various domains including Banking, Finance, Insurance, and Telecom. My expertise lies in building scalable data pipelines and Data Lakes on AWS, utilizing technologies such as Hadoop, Spark, and Kafka to drive impactful data solutions.
Throughout my career, I have successfully developed complex data processing applications, optimized data models, and ensured data quality in fast-paced environments. I thrive in Agile/Scrum teams and am dedicated to delivering high-performance solutions that meet business needs. My technical fluency in programming languages like Java, Scala, and Python, combined with my strong analytical skills, allows me to tackle challenging data problems effectively.
Experience
Work history, roles, and key accomplishments
Sr. Data Engineer
Pixelette Technologies Ltd
Oct 2021 - Present (3 years 10 months)
Developed Spark scripts in Scala for data transformations and created Hive Fact tables for analytics. Optimized Spark SQL queries and integrated data from various sources into HDFS/AWS S3.
Data Engineer
Covariant
Aug 2017 - Sep 2021 (4 years 1 month)
Built scalable distributed data pipelines using Amazon EMR for large-scale processing. Ingested real-time data streams using Kafka REST API and Spark Streaming, persisting results in HDFS as Parquet files. Designed and optimized Hive tables with partitions and bucketing for efficient querying.
Data Engineer
SupportLogic
Jun 2014 - May 2017 (2 years 11 months)
Designed ETL solutions with Informatica, covering database structure and error handling. Implemented AWS-based Data Lake and used AWS Lambda for real-time data validation. Ingested raw data using Kafka producers and processed clickstream events via Spark Streaming.
Sr. ETL Consultant
MindsDB
Mar 2012 - Apr 2014 (2 years 1 month)
Gathered business and technical requirements for the RDM project and implemented EDW data quality fixes. Developed Hive tables and optimized performance using partitioning and bucketing techniques. Wrote MapReduce jobs in Java to process log data and led data reconciliation efforts.
Education
Degrees, certifications, and relevant coursework
Unknown University
Bachelor of Science, Computer Science
Completed a Bachelor of Science in Computer Science, focusing on foundational computer science principles. Gained expertise in various programming paradigms and software development methodologies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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