I'm a full stack software engineer specializing in cloud-native, microservices-based analytics platforms. I design and operate Python backends and RESTful services that process millions of records per month, and I build intuitive front-end interfaces for complex datasets. I excel at building scalable data pipelines, implementing event-driven processing for near real-time analytics, and delivering secure, maintainable production systems. I enjoy collaborating across globally distributed teams and translating product requirements into robust technical solutions.

ABHINAV DIXIT

I'm a full stack software engineer specializing in cloud-native, microservices-based analytics platforms. I design and operate Python backends and RESTful services that process millions of records per month, and I build intuitive front-end interfaces for complex datasets. I excel at building scalable data pipelines, implementing event-driven processing for near real-time analytics, and delivering secure, maintainable production systems. I enjoy collaborating across globally distributed teams and translating product requirements into robust technical solutions.

Available to hire

I’m a full stack software engineer specializing in cloud-native, microservices-based analytics platforms. I design and operate Python backends and RESTful services that process millions of records per month, and I build intuitive front-end interfaces for complex datasets.
I excel at building scalable data pipelines, implementing event-driven processing for near real-time analytics, and delivering secure, maintainable production systems. I enjoy collaborating across globally distributed teams and translating product requirements into robust technical solutions.

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Experience Level

Expert
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Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

CS Delivery Station Liaison, L3 at Amazon
November 1, 2024 - November 6, 2025
Analyze performance, cost, and workflow datasets to identify bottlenecks and efficiency opportunities across regional operations. Built and optimized Power BI dashboards to improve visibility of key productivity, SLA, and operational metrics. Developed structured insight reports and presented findings to leadership to support operational decision-making. Partnered with cross-functional teams to define data requirements and validate data quality for reporting use cases.
FC Associate at Amazon UK
November 30, 2024 - November 30, 2024
Designed dashboards tracking productivity, accuracy, and throughput trends across operational sites. Combined data from multiple sources using SQL, Python, and Excel to generate performance insights. Conducted root cause analyses to identify workflow inefficiencies and recommend targeted improvements. Documented analytical procedures and knowledge guides to support consistent understanding across teams.
Business Analyst at MRF Retail Store
July 31, 2022 - July 31, 2022
Built analytic models to optimize logistics routes, reduce delivery time, and improve customer retention. Designed operational tracking systems improving inventory accuracy to 98% and increasing transparency. Analyzed vendor and delivery performance data to support cost reduction and operational improvements.
Software Engineer at Inforce Computing
May 31, 2015 - May 31, 2015
Supported debugging, performance analysis, and system-level testing for embedded platforms. Created technical documentation and reporting dashboards to track engineering performance metrics. Mentored junior engineers in structured diagnostic and problem-solving techniques.
Full Stack / Backend Software Engineer at Applied Analytics Projects
November 1, 2022 - Present
Architected, developed, and operated cloud-native, full-stack applications with Python-based backend services and RESTful APIs for analytics products processing millions of records per month. Implemented scalable data pipelines and ETL workflows, automating ingestion, validation, reconciliation, and anomaly detection, reducing manual data preparation by ~40% and downstream data defects by 22.5%. Implemented event-driven processing for near real-time analytics and improved data availability for downstream consumers. Optimized PostgreSQL schemas and queries to improve latency and reliability. Developed React frontend components to surface analytics outputs and operational insights. Deployed microservices on AWS (EC2, Lambda, S3, API Gateway) with Docker/Kubernetes orchestration. Improved system reliability with structured logging and performance tuning.
Software Engineer (Systems & Embedded Platforms) at Smart Wireless Computing
July 1, 2013 - May 1, 2015
Developed and optimized system-level software and hardware interfaces for Qualcomm Snapdragon platforms, reducing boot time and improving connection reliability. Engineered high-performance drivers for camera (4K/60fps), HDMI 2.1, and infrared subsystems. Analyzed performance metrics and implemented optimizations reducing latency and infrastructure costs. Led EMC and RF emission testing, ensuring FCC/CE compliance. Redesigned deployment and release workflows to reduce update cycles and manufacturing setup time. Mentored junior engineers on Git workflows and architecture best practices.
Technical Operations & Systems Liaison at Amazon UK
April 1, 2014 - November 1, 2025
Led cross-system issue resolution for critical data integrity and inventory workflow failures between delivery and fulfillment platforms. Streamlined internal tooling and automated workflows to triple operational throughput during peak periods. Coordinated incident response across distributed teams, maintaining SLA adherence and system reliability under high load. Applied structured problem-solving to diagnose recurring issues and reduce repeat incidents.
Full Stack / Backend Software Engineer at Applied Analytics Projects | UK & India
November 1, 2022 - Present
Architected, developed, and operated cloud-native full-stack applications, delivering Python-based backend services and RESTful APIs supporting analytics products processing millions of records per month. Implemented scalable data pipelines and ETL workflows, automating ingestion, validation, reconciliation, and anomaly detection, reducing manual data preparation by ~40% and downstream data defects by 22.5%. Implemented event-driven data processing patterns for ingestion and validation of workflows, enabling near real-time analytics, and improving data availability for downstream consumers. Optimized relational database performance by redesigning PostgreSQL schemas, indexes, and query plans. Developed user-facing front-end components in React to surface analytics outputs and operational insights. Designed and deployed microservices-based backend systems on AWS, with Docker- and Kubernetes-based orchestration. Improved system reliability and SLA adherence through structured logging and
Technical Operations & Systems Liaison at Amazon UK
April 1, 2004 - November 1, 2025
Led cross-system issue resolution for critical data integrity and inventory workflow failures between delivery and fulfillment platforms. Improved operational throughput by streamlining internal tooling, automating repetitive processes, and optimizing workflows during peak demand. Coordinated incident response across distributed teams, maintaining SLA adherence and system reliability under high-volume conditions. Applied structured problem-solving methodologies to diagnose recurring issues and reduce repeat incidents.

Education

Master of Science in Technology Policy and Management (Public Policy) at University of Strathclyde
September 1, 2022 - September 1, 2023
Bachelor of Engineering in Information Science and Engineering at VTU Bengaluru, India
May 1, 2009 - May 1, 2013
MSc Technology Policy and Management: Public Policy (Merit) at University of Strathclyde
September 1, 2022 - September 1, 2023
B.E. Information Science and Engineering (Distinction) at Visvesvaraya Technological University
May 1, 2009 - May 1, 2013
MSc Technology Policy and Management: Public Policy (Merit) at University of Strathclyde
September 1, 2022 - September 1, 2023
BE Information Science and Engineering (Distinction) at Visvesvaraya Technological University
May 1, 2009 - May 1, 2013

Qualifications

Advance Cloud Support Engineer Diploma with CompTIA
January 11, 2030 - November 6, 2025
EITCA/AI Artificial Intelligence Academy – AI Certification Modules (Google Cloud ML, TensorFlow Fundamentals, Python for ML, etc.)
January 11, 2030 - November 6, 2025
AWS Certified Cloud Practitioner
January 11, 2030 - February 16, 2026
AWS Certified SysOps Administrator (Coursework)
January 11, 2030 - February 16, 2026
CompTIA Cloud+
January 11, 2030 - February 16, 2026
CompTIA Security+
January 11, 2030 - February 16, 2026
EITCA/AI Artificial Intelligence Academy (Machine Learning and Deep Learning)
January 11, 2030 - February 16, 2026
AWS Certified Cloud Practitioner
January 11, 2030 - February 17, 2026
AWS Certified SysOps Administrator (Coursework)
January 11, 2030 - February 17, 2026
CompTIA Cloud+
January 11, 2030 - February 17, 2026
CompTIA Security+
January 11, 2030 - February 17, 2026
EITCA/AI Artificial Intelligence Academy (Machine Learning and Deep Learning)
January 11, 2030 - February 17, 2026

Industry Experience

Retail, Software & Internet, Transportation & Logistics, Manufacturing, Professional Services, Media & Entertainment