Headline

Data Engineer | Cloud-Native Data Platforms & GenAI Systems | GCP • Dataflow • Terraform | Scaled High-Volume Pipelines with 30% Cost Optimization

About

I’m Aman Gupta, a Data Engineer who enjoys building scalable systems that move and transform data at scale. 𝐌𝐲 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐈𝐧𝐭𝐨 𝐃𝐚𝐭𝐚 My journey began at Delhi Technological University, where I focused on strengthening my fundamentals in computer science, data structures, and algorithms. I’ve always believed that strong foundations create strong engineers — so I spent my early years mastering the basics before exploring what truly excited me. That curiosity led me into the world of data and machine learning. What started as academic exploration soon turned into hands-on projects, experimentation, and a growing fascination with how data can drive decisions and intelligence. 𝐖𝐡𝐞𝐫𝐞 𝐓𝐡𝐢𝐧𝐠𝐬 𝐆𝐨𝐭 𝐑𝐞𝐚𝐥 Towards the end of my college journey, I got the opportunity to intern at Gaana as a Data Analyst. Working with real user data and business use cases shifted my perspective completely. Data was no longer just numbers — it became stories, patterns, and impact. That experience solidified my decision to build a career in data. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨 𝐍𝐨𝐰 Today, as a Data Engineer, I work on large-scale data systems processing massive volumes of data daily. From setting up infrastructure from scratch to designing pipeline architecture and orchestration, I’ve worked across the full lifecycle of data systems. My work heavily revolves around: • Data Engineering • Data Pipelines • Cloud Architecture • Dataflow • Google Cloud Platform • Terraform I enjoy building reliable, scalable pipelines that are not just functional — but optimized for performance and cost. Whether it’s designing distributed workflows, tuning Dataflow jobs, or architecting event-driven systems in the cloud, I focus on creating systems that can handle real-world scale. 𝐇𝐨𝐰 𝐈 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐌𝐲 𝐖𝐨𝐫𝐤 I see data engineering as more than just ETL — it’s about designing robust systems, understanding trade-offs, and building infrastructure that teams can trust. Clean architecture, scalability, and performance matter to me. And I’m still learning — especially at the intersection of Data Engineering and Generative AI — constantly exploring how intelligent systems can be built on top of strong data foundations. 𝐋𝐞𝐭’𝐬 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 If you’re building scalable data platforms, modern cloud pipelines, or intelligent data-driven systems, I’d love to connect and exchange ideas. — Aman Gupta greature24@gmail.com

Location

Delhi

AI stack

opencode

claudecode

Work experience

Associate at Deutsche Bank, Apr 2025 - Present · 1 yr 5 mos, Pune, Maharashtra, India, 𝐓𝐨𝐩 2 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 ✅ Reduced data pipeline runtime and infrastructure cost by 60% by designing and optimizing high-throughput Apache Beam pipelines on Dataflow, leveraging performance benchmarking and worker-level tuning. ✅ Engineered GenAI workflows on Vertex AI, integrating foundation models with custom datasets and BigQuery pipelines to automate insight generation and reduce manual analysis effort by 40%.

Senior Analyst at Deutsche Bank, Oct 2023 - Mar 2025 · 1 yr 6 mos, Pune, Maharashtra, India, 𝐓𝐨𝐩 2 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 ✅ Developed internal web applications using React and TypeScript, reducing business query resolution time by 30% and improving user adoption. ✅ Implemented monitoring and alerting with Google Cloud Monitoring, increasing system observability by 40% and proactively reducing pipeline failure response time.

Analyst at Deutsche Bank, Jul 2022 - Sep 2023 · 1 yr 3 mos, Pune, 𝐓𝐨𝐩 2 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 ✅ Improved data processing efficiency by 25% by building scalable Python and BigQuery pipelines handling millions of records per run for high-volume workloads. ✅ Automated infrastructure provisioning using Terraform, cutting manual deployment effort by 50% and reducing configuration-related production issues.

Data Analyst at Gaana, Feb 2022 - May 2022 · 4 mos, Noida, Uttar Pradesh, India, ✅ Led end-to-end customer service analytics across 100K+ customer interaction records, translating raw multi-source data into actionable insights that improved key service KPIs by 15%. ✅ Automated BigQuery data pipelines using Python, eliminating manual reporting workflows and reducing reporting effort by 30%, saving 10+ hours per week. ✅ Built interactive dashboards in Google Data Studio tracking 20+ business metrics, increasing real-time data visibility and enabling faster decision-making across 3+ stakeholder teams. ✅ Identified behavioral patterns and correlations in large-scale datasets (1M+ rows), driving process optimizations that improved operational efficiency by 18%.

Machine Learning Intern at Widhya, Jan 2021 - Feb 2021 · 2 mos, Applied machine learning techniques to real-world use cases, identifying and resolving two major pipeline bottlenecks that enhanced performance and stability.

Content Writer at Doubtnut, Nov 2020 - Dec 2020 · 2 mos, Gurugram, Haryana, India, Created high-quality Physics content for IIT-JEE aspirants, breaking down complex topics into structured, easy-to-understand material aligned with competitive exam standards.

Machine Learning Researcher at CALIBRE_DTU, May 2020 - Jul 2020 · 3 mos, Delhi, India, Assisted in academic research under a faculty mentor, building and evaluating an NLP-based hate speech detection model using word embeddings to improve classification accuracy and contextual understanding.

Education

Bachelor of Technology - BTech, Computer Science, Delhi Technological University

12th, PCM, D.A.V. Public School - India