I am a versatile AI & Data Engineer with hands-on experience designing and deploying scalable data infrastructure and intelligent AI systems. I thrive in turning complex business needs into robust data and AI products that drive practical outcomes across cloud environments like Azure, AWS, and GCP. I enjoy collaborating across product, risk, finance, biotech, and retail teams to deliver measurable value through data-driven decisions. From building ETL/ELT pipelines and real-time dashboards to deploying Retrieval-Augmented Generation (RAG) systems and LLM-powered tools, I bring a practical, business-minded approach to AI and analytics. I’m passionate about governance, data quality, and scalable architectures, and I love creating user-friendly apps and workflows that empower teams to act on insights.

Sai Praneeth Akula

I am a versatile AI & Data Engineer with hands-on experience designing and deploying scalable data infrastructure and intelligent AI systems. I thrive in turning complex business needs into robust data and AI products that drive practical outcomes across cloud environments like Azure, AWS, and GCP. I enjoy collaborating across product, risk, finance, biotech, and retail teams to deliver measurable value through data-driven decisions. From building ETL/ELT pipelines and real-time dashboards to deploying Retrieval-Augmented Generation (RAG) systems and LLM-powered tools, I bring a practical, business-minded approach to AI and analytics. I’m passionate about governance, data quality, and scalable architectures, and I love creating user-friendly apps and workflows that empower teams to act on insights.

Available to hire

I am a versatile AI & Data Engineer with hands-on experience designing and deploying scalable data infrastructure and intelligent AI systems. I thrive in turning complex business needs into robust data and AI products that drive practical outcomes across cloud environments like Azure, AWS, and GCP. I enjoy collaborating across product, risk, finance, biotech, and retail teams to deliver measurable value through data-driven decisions.

From building ETL/ELT pipelines and real-time dashboards to deploying Retrieval-Augmented Generation (RAG) systems and LLM-powered tools, I bring a practical, business-minded approach to AI and analytics. I’m passionate about governance, data quality, and scalable architectures, and I love creating user-friendly apps and workflows that empower teams to act on insights.

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Experience Level

Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Data Engineer at ORDE
September 1, 2025 - Present
Own the design, development, and ongoing evolution of the organisation’s core data and analytics platform. Collaborate with product, risk, finance, credit and analytics teams to translate requirements into scalable data solutions. Define data modelling standards, transformation patterns, and best practices. Ensure data reliability, accuracy, and auditability through testing, validation, and governance processes. Optimise performance, cost, and maintainability of data pipelines and analytical models. Support stakeholders with trusted datasets and analytical views for reporting, decision-making, and regulatory needs. Build and support ad-hoc analytical, ML, and AI use cases as required to solve emerging business and operational problems.
Data and AI Engineer at AllG
November 1, 2022 - August 1, 2025
Built a cloud-native data platform supporting both commercial and biotech sides of the business. Designed and deployed ETL/ELT pipelines using Azure Data Factory, integrating data from IoT lab instruments, Benchling APIs, and Business Central into Azure Data Lake and Azure SQL DB. Developed Flask-based web applications on Azure App Service and built Power BI dashboards for real-time insights. Created an internal RAG-based ChatGPT tool using Azure OpenAI and AI Search; prototyped a local LLM with Ollama for embeddings and knowledge graphs. Led CI/CD automation with Bitbucket and Azure DevOps.
Data Engineer at My Muscle Chef
August 1, 2021 - November 1, 2022
Led end-to-end data engineering efforts, building scalable ETL/ELT pipelines on GCP; designed a BigQuery-based data warehouse handling high-volume data from APIs, third-party tools, and internal databases. Built modular DBT transformations, developed Looker dashboards for real-time insights into product performance and operations, and created ML models for customer segmentation and churn. Integrated marketing data (CustomerIO, Hightouch) and automated workflows with Cloud Functions and DataFlow; collaborated with Marketing, Product, and Analytics teams to drive data-informed decisions.
Analyst at Intellificial
December 1, 2020 - August 1, 2021
Migrated data from RMS to AWS and built Glue jobs with PySpark for transformations, validations, and analytics across AWS services (DynamoDB, EC2, S3, Lambda). Designed and developed ML models for retail clients, including product stock-out detection and fashion product classification; performed data wrangling, annotation, augmentation, development and deployment on AWS.
Data Analyst Intern at YukIconsulting
July 1, 2020 - November 1, 2020
Developed statistical tests and dashboards to identify factors contributing to lead conversions in real estate for a client.
Software Engineer at LG
June 1, 2017 - December 1, 2018
Ensured stability and reliability for LG WebOS smart devices. Built a framework to automatically execute WebOS APIs for testing stability; supported Porsche vehicle cluster systems and automated reading of unstructured system requirements, formatting to structured data, and automated execution on clusters using CAN with OpenCV and OCR.

Education

Master of Science in Data Science at Macquarie University
January 11, 2030 - January 1, 2020
Bachelor of Technology in Electronics and Communications at Vardhaman College of Engineering
January 11, 2030 - January 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Life Sciences, Retail, Software & Internet, Professional Services