Aytac Imisci
Data Scientist @JLR
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WORK HISTORY
Data Scientist @JLR
Gaydon, GB
Designed and owned data pipelines consolidating engineering and operational data from APIs, internal platforms, and cloud sources into governed analytical layers- Defined data architectures, validation rules, schema expectations, lineage, and lifecycle controls to improve dataset reliability, auditability, and consistency- Established dimensional and semantic data models to standardise the interpretation of engineering, performance, and operational metrics across teams- Improved pipeline performance and stability by optimising Python and SQL workloads and removing downstream bottlenecks affecting reporting timeliness- Introduced CI/CD practices for data pipelines, including automated testing and controlled deployments, to reduce operational risk- Produced technical documentation covering data structures, modelling logic, and lifecycle behaviour to enable consistent use without dependency on subject matter experts- Mentored engineers and analysts, delivering structured SQL and Python guidance and supporting adoption of modelling and governance standards.
EDUCATION
Özel Kültür Fen Lisesi
High School Diploma, Science
Istanbul Technical University
Bachelor of Science - BS, Mathematics Engineering
Florya Final Anadolu lisesi
High School Diploma, Science
ABOUT AYTAC IMISCI
Senior Data Engineer & Data Architect with a background in Data & Metadata Consulting, specialising in the design of reliable, scalable data platforms that support analytical and operational decision making.I design and deliver end to end data solutions across data acquisition, transformation, modelling, and governance. This includes defining data architectures, building ELT and ETL pipelines, and establishing metadata, lineage, and data lifecycle controls to support predictable data behaviour and controlled data usage at scale.I work with organisations to address data challenges such as unreliable pipelines, inconsistent data models, unclear business definitions, and limitations in analytical trust. My experience spans automotive, pharmaceuticals, e-commerce, and marketing, including regulated environments where data quality, traceability, and consistency are required. I translate business requirements into technical designs and dependable, analytics ready datasets.My work focuses on standardising data structures, formalising models and definitions, and supporting environments where engineering and analytics teams operate against defined and documented data assets without friction or ambiguity.Areas of focus- Data platform and pipeline architecture- Data modelling, schema design, and standardisation- Metadata management, governance, and lineage frameworks- Scaling analytics platforms while maintaining controls and consistencyCore skills:Data Engineering, Data Architecture, Metadata and Governance, ELT/ ETL, SQL and Python, Data Modelling, BI & Analytics Enablement, DataOps, Cloud Data PlatformsBased in the UK (Skilled Worker Dependant Visa valid until October 2027).
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