Tejveer Singh_
Cloud Data PlatformsLakehouse & GenAIAWSSnowflakeDatabricks
Data architect and engineering lead with 10 years’ experience designing secure, governed data platforms – from on-premises Hadoop to Lakehouse platforms on AWS, Snowflake and Databricks – across seven industries: healthcare, aviation, insurance, banking, telecom, the public sector and research. Data has a habit of sprawling: legacy systems, scattered lakes, a dozen versions of “the truth”. I turn that sprawl into something worth trusting – Lakehouse platforms, reusable data products and, increasingly, the GenAI workflows built on top of them – and I still get an unreasonable amount of satisfaction from a pipeline that finally goes green.
Focus areas
Experience
Consulting engagements for NTT DATA clients in healthcare, aviation and insurance.
- NHS – GSTT & LGTUKCURRENTSenior Lead Data EngineerOct 2025 – Present
Lead a team of data engineers migrating legacy clinical and operational systems from multiple sources to Snowflake, with Azure Data Factory for orchestration. I own the technical design and delivery quality – source-to-target mapping, schema remediation and pipeline reliability – so the data is auditable and ready for analytics.
- British AirwaysUKSolutions ArchitectDec 2024 – Aug 2025
Architected domain-specific, reusable, governed data products on BA’s Operational Data Integration Platform (Data Product Factory), turning business use cases into data product designs and driving adoption of a model that reduced duplicated datasets and improved trust in data.
- Zurich InsuranceUKSolutions Architect / EngineerMar 2022 – Nov 2024
Architected and delivered a full legacy-to-cloud migration onto AWS and Snowflake on a CloudFormation foundation that made deployments automated, secure and repeatable; built and tuned Matillion pipelines with data quality and security controls throughout.
- AonUKSolutions ArchitectSep 2021 – Feb 2022
Defined the AWS analytics architecture behind faster insurance data and BI delivery, with StreamSets pipelines from diverse sources and self-service data transformation that lowered cost.
- Nationwide Building SocietyUKSolutions Architect
Designed and built a Terraform-provisioned data lake for Amazon Connect, enabling historical and real-time contact-centre analytics used to improve customer service.
Joined as a Big Data Intern in Glasgow; Cloudera partner engagements across the UK and Europe in telecom, banking, the public sector and research.
- Lyca MobileUKLead Data EngineerFeb 2020 – Feb 2021
Led the team migrating core business data from legacy systems to AWS, with PySpark ETL into S3 and Redshift, Terraform infrastructure and a self-service analytics layer.
- CommerzbankFrankfurt, GermanySenior Big Data EngineerJul – Dec 2019
Designed and built an enterprise search platform (Solr, HBase, Hive, Spark) indexing 1.3 billion+ transaction records, with Spark, Kafka and NiFi streaming pipelines in near real time.
- Liberty GlobalAmsterdam, NetherlandsBig Data ConsultantJul 2019
Tuned a 150-node Apache Spark cluster on Mesos, cutting job completion time by more than 20%.
- Norddeutsche Landesbank (NordLB)Hannover, GermanyBig Data ConsultantApr – Jun 2019
Led the installation and benchmarking of a 12+ node Hadoop data lake to set baseline performance and SLAs, and the NiFi/Kafka data-flow platform (8+ nodes) feeding it for Spark analytics.
- Office for National StatisticsUKBig Data ConsultantOct 2018 – Jan 2019
Helped build the Secure Research Service (SRS) platform on AWS (S3, WorkSpaces, CloudFormation) alongside Microsoft services.
- CardanoUKSenior Hadoop EngineerMay 2017 – Oct 2018
Led a team of 4–5 engineers from proof of concept to production: three HDP/HDF clusters, NiFi and Kafka ingestion from many sources, data governance and lineage with Apache Atlas, and disaster recovery on AWS.
- UK Data ArchiveUKHadoop EngineerJun – Oct 2016
Architected and deployed two secured Hadoop clusters – 12 nodes on AWS and 20 on-premises – joined by VPN, with Kerberos, Active Directory single sign-on, Ranger, Knox and encryption at rest.