Edinburgh, Scotland, United Kingdom
robinsaini156@gmail.com | 07466201865
LinkedIn
Accomplished and forward-thinking Senior Data Engineer with extensive experience in financial services and enterprise data systems. Proven expertise in designing scalable data architectures, optimizing ETL pipelines, and driving cloud transformations. Adept at aligning data strategies with business goals, mentoring teams, and delivering high-value insights for executive decision-making. Aspiring to leverage technical and leadership skills to transition into Lead Data Engineer or Data Architect roles within innovative organizations.
- Data Architecture & Leadership: End-to-end design of robust data ecosystems, stakeholder management, team mentoring.
- Cloud Data Solutions: Snowflake, AWS (S3, EC2, Glue, Data Lake), DBT, Airflow.
- Big Data Expertise: Real-time and batch pipeline optimization, PySpark, StreamSets.
- Data Strategy & Governance: Data modeling, data quality frameworks, regulatory compliance.
- Technical Proficiency: Python, SQL, ETL/ELT process optimization, CI/CD pipelines with GitLab.
- Soft Skills: Collaborative problem-solving, strategic communication, Agile methodologies.
NatWest Group | Sep 2021 – Present
Edinburgh, Scotland
- Designed and orchestrated data ingestion pipelines for 30+ third-party sources, processing over 20 TB of data monthly using Snowflake, DBT, Airflow, and Python.
- Developed reusable data transformation frameworks aligned with best practices, reducing operational inefficiencies by 35%.
- Collaborated with product and technology teams to ensure regulatory-compliant data delivery for critical financial analytics.
- Established CI/CD pipelines via GitLab, streamlining deployments and enhancing platform reliability.
- Mentored junior engineers and fostered technical upskilling initiatives across the department.
- Drove cross-functional alignment on data engineering roadmaps, directly contributing to enterprise-wide analytics capabilities.
Leadership Highlights:
- Delivered thought leadership for Climate Risk Analytics, enabling data-driven decision-making.
- Advocated best practices across the organization’s Data Engineering Community.
Tata Consultancy Services (TCS) | Feb 2016 – Sep 2021
- Led a team managing enterprise-scale data warehouse platforms, providing critical support for financial reporting and analytics.
- Transitioned legacy systems to cloud-based data ecosystems, enhancing scalability and reducing operational costs by 30%.
- Improved performance of SQL queries and ETL workflows, achieving a 25% reduction in processing time.
- Conducted data lineage and governance assessments, ensuring adherence to financial compliance standards.
- Partnered with clients to define data architecture strategies, resulting in seamless adoption of modernized platforms.
Key Projects:
- Cloud migration of mission-critical applications.
- Implementation of disaster recovery frameworks.
UST | Apr 2015 – Feb 2016
- Developed COBOL-based applications to support financial services’ legacy systems.
- Drafted high-level technical designs and integrated enhancements aligned with business needs.
- Resolved critical incidents and drove compliance adherence through ITIL methodologies.
Sopra Steria | Apr 2011 – Mar 2015
- Designed and maintained COBOL applications for a leading UK retailer’s supply chain.
- Automated manual workflows, resulting in a 20% increase in operational efficiency.
- Authored detailed technical documentation and provided training to junior developers.
Dr. A.P.J. Abdul Kalam Technical University
B.Tech in Computer Science | 2006 – 2010
- Data Engineering Nanodegree – Udacity
- AWS Certified Solutions Architect (in progress)
- Mastery in Data Lake Architecture and cloud integrations.
- Proficient in real-time streaming technologies and pipeline scalability.
- Effective communicator, bridging technical teams and senior leadership.
- Spearheaded cloud migration projects, reducing infrastructure costs by 30%.
- Enhanced ETL/ELT workflows, accelerating data delivery cycles by 40%.
- Recognized for driving compliance across regulatory-bound financial systems.
- Programming Languages: Python, SQL, COBOL.
- Data Platforms: Snowflake, AWS Glue, Hadoop, Hive, StreamSets, Teradata.
- Frameworks & Tools: PySpark, Apache Spark, DBT, Airflow, ITIL Processes.
- Cloud Technologies: AWS (S3, EC2, Data Lake).
Robin Saini
LinkedIn | robinsaini156@gmail.com | 07466201865
