Alok Ahuja
Data Engineer @Undue Medical Debt
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WORK HISTORY
Data Engineer @Undue Medical Debt
US
Designed and developed data pipelines and ETL processes for data ingestion, transformation, and loading.• Worked with big data ecosystems, including Hadoop, MapReduce, Hive, Apache Spark, and HDFS for big data processing and analysis and enhanced existing ETL processes, reducing data loading times by 40% and increasing data accuracy.• Leveraged cloud technologies (AWS, GCP, Azure) for data storage, compute, and analytics.• Created interactive data dashboards using Tableau, providing actionable insights to business stakeholders and decision-makers.• Automated data ingestion from various sources, reducing manual efforts by 60% and increasing data processing efficiency.• Developed real-time data streaming solutions using Kafka, enabling instant access to critical data for real-time analytics.• Collaborated with cross-functional teams, using project management tools like Jira, Confluence, Jenkins, and Git.• Maintained documentation, trained team members, and provided support for data-related tasks.
EDUCATION
New York Institute of Technology
Master's degree
MEDICAPS UNIVERSITY
Bachelor of Technology - BTech
ABOUT ALOK AHUJA
Experienced Data Engineer with 3+ years of expertise in designing and implementing data pipelines, ETL processes, and data solutions. Proficient in various programming languages, cloud technologies, big data ecosystems, and data engineering frameworks including Hadoop, MapReduce, Hive, Apache Spark, HDFS, Kafka, Airflow, and Snowflake. Seeking opportunities to contribute my data engineering skills to drive data-driven decision-making.
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