Mohammed Miah

Junior Data Engineer with hands-on experience improving data quality, building validation pipelines, and supporting large-scale data platform delivery in secure UK government environments. Skilled in SQL, Python, Palantir-based modelling, and data investigation. Strong communicator with consulting experience across technical and business teams. Currently developing deeper cloud and data engineering skills (AWS Cloud Practitioner).

Technical Analyst – Data Quality & Engineering at Accenture (2024-01 – Present)

Transitioned from planning-focused delivery work into hands-on data engineering and quality on a national government programme

• Designed and executed Python and SQL-based data validation pipelines assessing completeness, timeliness, accuracy and consistency across multi-source datasets.
• Built Palantir Spindle dashboards surfacing data quality KPIs, trends and anomalies for engineers and senior stakeholders.
• Worked with data engineers and architects to diagnose data-flow issues, improve reliability and contribute to end-to-end pipeline understanding.
• Investigated data defects, conducted structured root-cause analysis, and proposed remediation aligned with secure data standards.
• Authored reusable documentation detailing validation rules, dependencies and quality thresholds to support audit, onboarding and platform scaling.
• Contributed to discussions on secure cloud connectivity, inter-platform architecture and environment resilience.
• Earlier responsibilities: managed delivery trackers and milestones, coordinated dependencies and facilitated ceremonies before progressing into technical engineering duties.

Customer Advisor & Private Tutor (2018-01 – 2023-12)

Customer-facing roles demonstrating communication, organisation and professional responsibility.

BSc in Computer Science – City, University of London (2019-01 – 2022-12)