Narender Paul
Senior Data Engineer @Santander UK
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WORK HISTORY
Senior Data Engineer @Santander UK
Manchester, GB
Building next-generation data infrastructure to power AI-driven banking services and real-time analytics across Santander UK\'s digital platforms.KEY ACHIEVEMENTS- Architected cloud-native data pipelines processing 50M+ customer transactions daily using AWS services- Designed and implemented real-time fraud detection data layer, reducing data latency from hours to <5 minutes- Led migration of legacy ETL workflows to modern streaming architecture using Kafka and Spark, improving reliability by 99.9%- Built reusable data engineering frameworks adopted across 5+ teams, reducing development time by 40%- Championed DataOps practices including CI/CD for data pipelines, automated testing, and infrastructure as code with TerraformTECHNICAL ENVIRONMENT:Python, Scala, Java | GCP (BigQuery, Dataflow, Composer, GCS, Cloud Functions)| AWS (S3, Lambda, Glue, Kinesis)| Kafka, Airflow, Spark | Terraform | Docker, Kubernetes | PostgreSQL, MongoDB
EDUCATION
Himachal Pradesh University
Bachelor of Science (BSc), Mathematics
Punjabi University
Master of Computer Applications (MCA), Computer Science
SKILLS
ABOUT NARENDER PAUL
Building Enterprise-Scale Data Infrastructure for the AI EraYears architecting data platforms across Financial Services, I specialize in designing cloud-native, real-time data systems that power AI, analytics, and mission-critical applications at scale. WHAT I DO:I help organizations build modern data infrastructure that\'s ready for autonomous AI agents, real-time analytics, and massive scale. My expertise spans the full data engineering lifecycle—from ingestion and transformation to governance and ML operations. RECENT IMPACT- Architected real-time streaming pipelines processing 10M+ events/day using Kafka, Spark, and Kinesis- Designed multi-cloud data platforms (AWS, GCP, Azure) serving enterprise AI/ML initiatives- Built scalable ETL frameworks reducing processing time by 60% while cutting cloud costs 40%- Led winning NLP solution at Barclays Tech Frontier hackathon (2022)- Implemented data governance frameworks for regulated financial services TECHNICAL EXPERTISE:→ Cloud Platforms: AWS (2x Certified: Solutions Architect + Data Engineer), GCP, Azure→ Big Data: Spark, Hadoop, Kafka, Airflow, Snowflake, Databricks→ Real-Time Processing: Kafka Streams, Kinesis, Spark Streaming, Flink→ Languages: Python, Scala, Java, SQL→ Infrastructure as Code: Terraform, CloudFormation→ Databases: BigQuery, Redshift, MongoDB, Cassandra, MySQL, HBase→ ML/AI Infrastructure: Feature stores, model deployment pipelines, MLOps CERTIFICATIONS: AWS Certified Data Engineer – Associate (2025) AWS Certified Solutions Architect – Associate (2025) Cloudera Certified Developer for Apache Hadoop CURRENT FOCUS:Passionate about building data infrastructure for the next generation of AI applications—designing systems where autonomous agents can discover, understand, and act on data without human intervention. If you\'re tackling challenges in agentic AI, real-time analytics, or enterprise-scale data platforms, let\'s connect.
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