Senior Data Engineer — Databricks · Snowflake · Cloud · AI/ML
Senior Data Engineer with 7+ years building enterprise-scale ETL pipelines, AI-driven analytics platforms, and cloud-native infrastructure at Cognizant. Researcher with 20+ published papers in AI, data engineering, and geospatial analytics — including a book on distributed systems. Beyond engineering, Aniket mentors aspiring technologists, contributes to climate tech through geospatial modeling, and is recognized as a speaker, judge, and thought leader at global AI and data events.
Aniket Abhishek Soni is a Senior Data Engineer based in New York with over seven years of experience designing enterprise-scale data infrastructure, AI-powered analytics systems, and cloud-native pipelines. At Cognizant Technology Solutions, he has architected solutions processing over 10 million records per day across regulated industries — building the kind of reliable, auditable, and high-performance data foundations that make AI strategies viable in the real world.
Beyond his engineering role, Aniket is an active researcher and published author. His body of work spans 20+ peer-reviewed papers across AI, data engineering, distributed systems, and geospatial analytics — including a sole-authored book published by BP International and a forthcoming book chapter with Wiley-Scrivener. His research has been cited 138+ times and is indexed on Google Scholar, ORCiD, and ResearchGate. He has presented at international conferences across Scotland, Bahrain, and online venues, contributing findings that bridge academic rigor with practical engineering impact.
Aniket also brings a distinctive lens through his work with climate technology. As a Research Analyst at Climate Change Xplorers, he analyzed over 150 million global data points to identify optimal locations for IoT weather station deployment — a project that combined geospatial modeling, machine learning, and big data integration in service of global climate action.
Recognized internationally for sustained contributions to the technology community, Aniket serves as a judge, peer reviewer, speaker, and mentor. He has evaluated work at MIT, IEEE conferences, the SIIA Neal Awards, and Major League Hacking — roles that place him among the small group of professionals called upon to assess the work of their peers. He mentors emerging engineers across three continents through FEA India, ENGin Ukraine, and TopMate.io.
Geospatial modeling of global weather station deployment using NOAA, FSI, MADIS, and IBM Watson data — supporting climate action through data-driven infrastructure decisions.
Built for Google AI's Music Mood App Competition. Developed a full ML pipeline using generative AI for mood-based music classification — achieving 85% accuracy, a 30% improvement over baseline. Designed an interactive UI that boosted user engagement by 40%.
High-accuracy offline transcription tool using Vosk + Python. Integrated KaldiRecognizer with pre-trained models, automated audio-to-text export as DOCX — eliminating 100% of manual transcription effort. Basis for an arXiv-published paper.
Real-time AQI lookup by ZIP code built with Python-Django backend and Bootstrap frontend — providing live air quality data via an intuitive search interface.
Pulled Johns Hopkins COVID-19 data, analyzed with Pandas, and visualized with Plotly + Folium. Compared countries by social distancing, government response, healthcare capacity, and testing feasibility during peak pandemic uncertainty.
Live tweet ingestion via Twitter API → PostgreSQL → Scikit-learn Naive Bayes model. Achieved greater than 80% AUC across positive, negative, and neutral classes with manually annotated training data.
Full-stack .NET application with prescription management, real-time dashboards, automated email/SMS alerts to distributors, and smart low-stock threshold detection.
| Type | Title & Venue | Year | DOI / Link |
|---|---|---|---|
| Book |
Scalable Infrastructure: Building Reliable Distributed Systems
BP International · ISBN 978-93-49970-00-7 · Sole Author
|
2025 | 10.9734/bpi ↗ |
| Book |
AI-Enabled Serverless Engineering for Autonomous Cloud Operations
Technical Press · ISBN 978-81-69069-56-4 · Co-author (with Milan Parikh)
|
2026 | ISBN ↗ |
| Book |
Building Organizational Intelligence Using Digital Twins and Generative AI (Chapter)
Wiley-Scrivener Publishing · In publishing process
|
2025 | — |
| Conf. |
Big Data Workload Profiling for Energy-Aware Cloud Resource Management
DASET · Scotland
|
Jan 2026 | — |
| Conf. |
Reinforcement Learning For Dynamic Workflow Optimization In CI/CD Pipelines
17th IEEE CICN
|
Dec 2025 | IEEE |
| Conf. |
Data Foundations for a Successful AI Strategy: A Blueprint for AI-Ready Enterprises
DASA · Bahrain
|
Dec 2025 | — |
| Conf. |
Detection of Advance Malware Threats using Hybrid Deep Learning Model and Image Analysis
IC3 (International Conference on Contemporary Computing)
|
Aug 2025 | 10.1109/IC3… ↗ |
| Conf. |
Dynamic Context Tuning for Enhanced Multi-Turn Planning in Retrieval-Augmented Generation Systems
ICE2CPT
|
Oct 2025 | arXiv:2506.11092 ↗ |
| Conf. |
Combining Threat Intelligence with IoT Scanning to Predict Cyber Attacks
AIBThings (3rd International Conference)
|
Sep 2025 | arXiv:2411.17931 ↗ |
| arXiv |
Improving Speech Recognition Accuracy Using Custom Language Models with the Vosk Toolkit
arXiv [cs.SD]
|
Mar 2025 | arXiv:2503.21025 ↗ |
| Journal |
Edge Vs Cloud Computing Performance Trade-Offs for Real-Time Analytics
IJSEA · Vol. 14, Issue 06
|
Jun 2025 | 10.7753/IJSEA ↗ |
| Journal |
Self-Healing Data Pipelines: A Fault-Tolerant Approach to ETL Workflows
IJETRM · Vol. 14, Issue 05
|
May 2025 | zenodo.15615306 ↗ |
| Journal |
Dynamic Resource Allocation in Serverless Architectures using AI-Based Forecasting
IJERT · Vol. 14, Issue 04
|
Apr 2025 | zenodo.18104614 ↗ |
Engaged in research collaborations, peer review, expert judging, speaking invitations, and mentorship across the global technology and data engineering community.
LinkedIn
GitHub
Scholar
ResearchGate