Amal Sujith
Data Engineer @Dolphin Digital Ooh Media
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WORK HISTORY
Data Engineer @Dolphin Digital Ooh Media
Dallas, TX, US
Engineered and maintained automation-driven data pipelines for a media-technology platform, enabling reliable ingestion, synchronization, and processing of multi-source operational and analytics datasets at scale.• Designed and implemented ML-assisted data automation workflows using Python, TensorFlow, and SQL to interlink datasets across use cases, improving data consistency by 95% and accelerating development cycles by 25%.• Streamlined data lake integrity and governance by eliminating duplicate records and temporal overlaps through validation, reconciliation, anddeduplication pipelines, achieving 98% data accuracy and improving downstream analytics reliability.• Led the ETL pipeline migration from Concourse to Jenkins by developing automation scripts to translate pipeline configurations, reducing manual operational effort by 70% and improving CI/CD stability.• Executed large-scale cloud data migrations and orchestration using AWS, Apache Airflow, and Snowflake, enabling seamless transitions for 800+ clients while improving system scalability, performance, and observability.
EDUCATION
Virginia Tech
Master of Science - MS, Computer Engineering
Amrita Vishwa Vidyapeetham
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
ABOUT AMAL SUJITH
As a Computer Engineering graduate student at Virginia Tech, I bridge the worlds of data science, backend engineering, and analytics to deliver robust, scalable solutions. With over 3 years of experience across tech and consulting, I specialize in building cloud-native data pipelines, engineering ML workflows, and optimizing distributed systems for business impact.Highlights- Developed backend solutions with Java, Spring Boot, and Kafka, achieving up to 40% improved throughput and 99.95% uptime- Engineered ETL pipelines on Snowflake and Airflow, processing daily transactions while reducing storage costs by 30%- Led analytics automation at BCG, contributing to a 14% revenue increase and saving 15+ hours per week through process automation- Proficient in AWS, GCP, Python, TensorFlow, and Power BI, with hands-on experience deploying and maintaining cloud-based microservices.I thrive on solving complex challenges in distributed systems, deploying intelligent ML models at scale, and building data infrastructure that drives actionable insights. Currently, I am deepening my expertise in anomaly detection and behavioral analysis as a Graduate Research Assistant.Let’s connect if you’re interested in data-driven innovation, cloud solutions, or collaborative research!
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