Harish Dutt Bajpai
Senior Data Engineer @Airportr Technologies
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WORK HISTORY
Senior Data Engineer @Airportr Technologies
London, GB
Oversaw all data requirements for reporting, ensuring the integrity and functionality of the data platform.• Collaborated with various teams (Finance, Logistics, Operations, Customer Support, Product & Engineering) to understand their data needs and provided tailored solutions to enable data-driven decision-making.• Partnered closely with management and C-suite executives to deliver new data insights, supporting data-driven business decisions.• Developed and maintained business-critical financial, logistical, and third-party reports.• Explored new technologies and conducted rapid Proofs of Concept (PoCs) and Proofs of Value (PoVs) to support business initiatives.
EDUCATION
Kendriya Vidyalaya
AISSE
Technocrats Institute Of Technology
Bachelor of Engineering - BE
Kendriya Vidyalaya
AISSCE
SKILLS
ABOUT HARISH DUTT BAJPAI
Data Engineering professional with 12+ years of experience delivering scalable data platforms that transform enterprise data into trusted business insights. Expertise lies in Microsoft Azure and modern data architectures, with a focus on building reliable, governed, and business-aligned platforms that support enterprise analytics and AI-ready ecosystems.Over the past 6+ years in the United Kingdom, collaborated with global teams, architects, and business stakeholders to modernize legacy data warehouses and implement cloud-based data platforms using Azure Lakehouse architectures. Recognized for taking ownership of complex data challenges and delivering scalable, business-aligned solutions that support analytics, reporting, and AI initiatives.Key contributions include:• Designing and implementing data platforms processing 1TB+ daily across batch and near real-time pipelines• Building and optimizing 100+ ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse• Leading data warehouse modernization programs, migrating legacy systems to Azure Lakehouse architectures• Developing data ingestion frameworks and automated data quality processes, improving trust and usability of enterprise data assets• Leading and mentoring teams of 3–6 data engineers, guiding design decisions, development standards, and delivery milestones• Collaborating with Solution Architects and business stakeholders to produce high-level and low-level architecture designs• Contributing to technical assessments, PoCs, PoVs, and RFP responses within Data & Analytics Centre of Excellence teamsTechnical expertise spans Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL Database, Microsoft Purview, Power BI, and the Hadoop ecosystem (Hive, Impala, HBase, Sqoop), along with distributed processing using Apache Spark.Focused on building AI-ready data foundations, ensuring scalable pipelines, governed datasets, and well-designed lakehouse architectures that enable advanced analytics, machine learning, and generative AI workloads.Certifications include Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Fundamentals (AZ-900, DP-900, AI-900, PL-900), Databricks Lakehouse Fundamentals, Databricks Generative AI Fundamentals, and Azure Data Explorer Fundamentals.Committed to bridging business needs with technology, delivering trusted data platforms that enable innovation, support data-driven decision-making, and position organizations for AI-driven growth.
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