Tiken Laishram
Staff Data Engineer @John Lewis Partnership
Signup · Get unlimited contacts
WORK HISTORY
Staff Data Engineer @John Lewis Partnership
Key Responsibilities & Achievements:Lead technical design discussions, influencing architecture decisions across multiple products and domains within the John Lewis Money (Insurance and Banking).Drive data modelling strategy, including dimensional modelling and 3NF, ensuring scalable, high-quality analytical foundations.Design and optimise end-to-end data pipelines using Snowflake, dbt, Python, and GCP, improving performance and reliability across the platform.Actively participate in weekly planning, prioritisation, and roadmap refinement sessions with cross-functional teams.Lead quality assurance initiatives, including code reviews, data validation frameworks, and engineering standards.Pair regularly with Data Engineers to unblock development, guide best practices, and mentor them on architecture and modelling approaches.Collaborate with Business Analysts to streamline data ingestion processes, standardising data contracts with upstream suppliers.Partner with Business Analysts and visualisation teams to refine requirements and support clear, actionable user stories for reporting and dashboards.Champion engineering excellence through continuous improvement, documentation, and cross-team knowledge sharing.
EDUCATION
C.C. Higher Secondary School, Imphal
Higher Secondary, Mathematics, Physics, Chemistry, Biology and Literature (Manipuri, English)
Madurai Kamaraj University
Engineer's Degree, Electrical and Electronics
SKILLS
ABOUT TIKEN LAISHRAM
Staff Data Engineer with extensive experience designing, building, and optimising end-to-end data platforms — from ingestion and transformation to modelling and analytics-ready delivery. I specialise in creating scalable, reliable, and well-structured data ecosystems that support business intelligence, analytics, and product teams.Currently working with Snowflake, dbt, Python, Airflow, and Google Cloud Platform to develop modern ELT patterns, enforce data quality, and deliver domain-focused models that enable self-service analytics across the organisation.My background spans multiple data warehousing, ETL and BI technologies including Ab Initio, SQL Server (full BI stack), Netezza, DB2, Sybase IQ, Oracle, Tableau and Cognos. I bring experience across retail, media, and telecoms, giving me a strong understanding of complex data environments and high-volume operational systems.I’m passionate about data modelling, platform architecture, and creating engineering standards that elevate data quality, consistency, and stakeholder confidence.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.