Software Engineer - Data | Developing transformation data pipelines on GCP | Experienced in AWS, Databricks | Python | SQL | PySpark | Immediate Joiner

Hyderabad, Telangana, India




Mountain View, California, United States


Master's degree, Bioinformatics
Savitribai Phule Pune University

Bachelor's degree, Genetics and Genomics
University of lucknow
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Data is just a vehicle. It doesn't know where it's going until an engineer gets behind the wheel. 🛴 Over the last 2.5 years, I've been in tech converting chaos into clarity — making sense of datasets that didn't want to cooperate. I like finding solutions, sometimes sooner than later. I've worked across varied domains, performed data analytics, worked in backend engineering, built ETL pipelines on cloud platforms (AWS, GCP), designed orchestrated workflows, and developed event-driven architectures. Currently at ReviewDale, working on GCP and helping them build solutions for a complex, first-of-its-kind platform. From restructuring BigQuery schemas and optimising query performance, to building data quality pipelines and using agentic AI to extract meaningful information from scattered, unstructured data — no two days look the same. The only constants are GCP, SQL, and the driver knowing the vehicle. ⚡ Before that, I was a founding team member at MicrobioTx Health — helped lay out their AWS cloud infrastructure from scratch, built ETLs, performed data analytics, and handled backend engineering. All to reduce manual effort and let the business team focus on what they do best. I didn't plan to end up in tech — biology was the plan. But bioinformatics taught me that the messiest data often hides the most interesting answers, and tech gave me the tools to actually do something about it. I stayed true to my roots for a few years, until I realised the field itself was pushing me to grow. So I followed that pull and Python — and haven't looked back. 🧘🏻♀️ Currently open to new opportunities — and not just the ones that say "Data Engineer" in the title. What I bring is a problem-solving mindset, strong engineering fundamentals, and the ability to pick up new tools fast. The tech stack is learnable. The thinking isn't. If you're building something interesting and need someone who figures things out — let's talk. Oh, and I make great presentations. I've been obsessed with PowerPoint since I was 5. Five-year-old Yamini took those transitions very seriously. 👧🏻 And since you made it to the end — remember what I said at the start? A vehicle doesn't know who's driving it. Data doesn't know what it holds. The meaning was never in the data — it's in the person making sense of it. 🛴 Have a heavenly day 🌻
Gurugram
antigravity
Data Engineer at ReviewDale, Mar 2026 - Present · 9 mos, Hyderabad, Telangana, India, Working on GCP-based data engineering and Generative AI workflows to build scalable data pipelines and power customer review analytics. - Developing data models and transformation logic in BigQuery and SQL to generate derived business metrics from customer review data, enabling analytics, user-facing features, and data-driven decision-making. - Develop prompt-engineering workflows using Gemini 2.5 Flash-Lite, Vertex AI, SQLX, and BigQuery ML (BQML) to perform keyword extraction, sentiment analysis, and text summarization on customer review data. - Design and maintain automated ETL pipelines using Google Cloud Scheduler, Python, and SQL to process raw product review data from the Bronze to Silver layer, implementing data cleansing, validation, and transformation for downstream AI and analytics workloads.
Professional development at Career Break, Dec 2025 - Feb 2026 · 3 mos, During this career break, I focused on strengthening my technical skills and preparing for the next stage of my career in Data Engineering. * Enhanced my knowledge of Python, SQL, PySpark Databricks, and cloud-based ETL workflows. * Practiced data engineering concepts through hands-on projects and technical interview preparation. * Explored modern data processing frameworks and best practices for building scalable data pipelines. * Continued learning through self-directed study and project-based development to stay current with industry trends.
Data Engineer at MicrobioTx, Apr 2024 - Oct 2025 · 1 yr 7 mos, At MicrobioTx, I worked across data engineering, backend development, and automation, building cloud-native data pipelines and internal tools for healthcare analytics. - Designed and maintained event-driven AWS data pipelines using AWS Glue, Lambda, S3, EC2, EventBridge, SNS, and SQS, automating data workflows and reducing manual processing effort by 80%. - Built ETL pipelines in AWS Glue Python Shell to ingest, transform, and standardize healthcare datasets into a Medallion Architecture (Bronze/Silver/Gold), creating analytics-ready MySQL databases for downstream reporting and dashboards. - Developed an internal report delivery platform using Python, Streamlit, MySQL, and the WhatsApp Business API, reducing manual business communication effort by 60%.
Data Engineer Intern at MicrobioTx, Dec 2023 - Mar 2024 · 4 mos, I had the opportunity to significantly improve data processing systems at MicrobioTx through various initiatives. • Refactored Python scripts into production-ready components, enhancing maintainability and scalability. • Developed unit testing and validation frameworks, boosting system reliability and data accuracy. • Acquired practical experience with AWS infrastructure, facilitating efficient cloud application development.
Scientific Research Intern at Digbi Health, Jul 2023 - Oct 2023 · 4 mos, Mountain View, California, United States, I played a pivotal role in advancing data processing techniques at Digbi Health, where I built robust AI/ML pipelines for biological research. • Engineered ETL workflows that significantly improved the reliability of large-scale datasets for machine learning applications. • Enhanced predictive model development through meticulous data curation and feature engineering, contributing to the research's overall success. • Implemented rigorous quality assurance checks, ensuring consistency and accuracy across all datasets and model outputs.
Master's degree, Bioinformatics, Savitribai Phule Pune University
Bachelor's degree, Genetics and Genomics, University of lucknow