Noufal Rijal

About Noufal Rijal

As a Senior Data Engineer at Armada, I design and implement real-time data solutions that integrate AI-driven insights and streaming data across on-prem and cloud-based architectures. With over 7 years of hands-on experience, I specialize in architecting scalable, reliable, and cost-effective data platforms that power enterprise-scale applications- & - At Armada, I led the development of a real-time video processing pipeline that integrates AI models for PPE detection, action recognition, fire, and smoke detection. Leveraging Apache Flink, Kafka, and AI inference frameworks, I built a high-throughput, low-latency streaming architecture to process and analyze video data at scale. & I leverage AWS services such as S3, Lambda, Glue, DynamoDB, Athena, SQS, SNS, and Kinesis to build robust data lakes, high-performance streaming pipelines, and scalable analytics platforms. My expertise lies in: Optimizing data ingestion, transformation, and processing for both real-time and batch workloads. Implementing cost-effective, scalable solutions that enhance data accessibility and insights- & With deep proficiency in Python, Pandas, PySpark, and SQL, I: Ensure data quality and seamless integration across platforms. Solve complex data challenges by designing efficient, scalable pipelines. Optimize performance to extract actionable insights that drive business decisions. & I\'m a certified AWS Data Engineer and hold an Applied Data Science with Python certification from Data Science Academy. Passionate about staying at the forefront of data engineering, I continuously explore new technologies and best practices to deliver cutting-edge solutions. & I thrive in cross-functional environments, working closely with AI/ML engineers, data scientists, and business teams to build scalable, high-impact data solutions. From designing enterprise data lakes to optimizing real-time analytics, my goal is to empower organizations with data-driven decision-making and unlock business value.

Experience

1. Senior Data Engineer

   Armada

   Dec 2025 — Present

   Leading a 4-member data engineering team in India, providing technical mentorship, architectural guidance, and unblocking complex technical challenges across the data platform. → Spearheading the migration of data pipelines from Azure Databricks to Apache Spark on Azure Kubernetes Service (AKS) using Scala, optimizing resource utilization and reducing cloud spend. Architecting bidirectional data integration pipelines via Salesforce APIs using Scala, consolidating distributed data sources into a centralized Single Source of Truth for business operations.

Education

• Kendriya Vidyalaya Adoor

  Physics, Chemistry, Mathematics, Computer Science, Computer Science

  2004 — 2014

• Data Science Academy , Trivandrum

  Certification in Applied Data Science with Python, Data Science

  2019 — 2020

• College of Engineering, Adoor

  Bachelor of Technology, Computer science and engineering