Huzefa K.

Seasoned Senior Data Engineer with 10 years' expertise crafting and implementing sophisticated data enrichment solutions. Proficient in developing and architecting robust data systems within production environments, utilizing an array of data engineering tools such as Python, SQL, Pyspark, Scala, and more. Specialized in constructing top-tier ETL Pipelines leveraging airflow, AWS Glue, and Apache Spark for seamless data processing. Proficiency in building and managing CI/CD pipelines, automating deployment workflows, and ensuring seamless integration and delivery of data engineering solutions. Extensive proficiency in leveraging cloud-based technologies within the AWS ecosystem—expertise spans S3, Glue, EMR, Athena, Redshift, Lambda functions, and RDS. Proficiently design and extract data from diverse sources, optimizing it for Data Scientists' use in constructing machine learning models to predict various customer-centric scenarios. Adept at remote work environments, delivering consistent excellence in collecting, analyzing, and interpreting extensive datasets. Skilled in data pipeline development using Spark, managing data across DWH, Data Marts, and Data Cubes within SQL, NO-SQL, and Hadoop-based systems. Proficient in building Python scrapers via Scrapy and Beautiful Soup to streamline data acquisition processes. Extensive freelance experience has broadened my expertise, enabling me to collaborate with diverse clients on challenging data engineering projects. This exposure has strengthened my capabilities and equipped me to tackle any forthcoming challenges as a seasoned data engineer.