- 🔭 I’m currently building real-time, scalable data lakes using Apache Iceberg, Airflow, Glue, and AWS.
- 🌱 Exploring advanced ML Infra for Retrieval-Augmented Generation (RAG) using vector databases and LLMs (OpenAI, Bedrock).
- 💬 Ask me about Cloud Data Pipelines, Streaming Infrastructure, and Lakehouse Architectures.
- ⚡ Fun fact: I love designing reusable data frameworks, optimizing cost-performance, and mentoring data engineers.
- 🛠 Built a generic ETL utility on AWS Glue integrating MySQL, Oracle, Redshift, and SQL Server.
- 🧊 Adopted Apache Iceberg to modernize data storage and time-travel capabilities.
- 📦 Delivered reusable ingestion framework with config-driven design for fast analytics onboarding.
- ⚙️ Migrated legacy pipelines to Pulumi/CDK, increasing infra reproducibility and cost transparency.
- 🔄 Implemented scalable Redshift & Snowflake data models (Star/Snowflake schemas).
- 🚀 Architected streaming + batch systems using Kinesis, EventBridge, and Lambda.
- 🔒 Enforced strong data security practices — encryption, access controls, masking.
- 📡 Integrated 8+ third-party SaaS APIs (Salesforce, Sage Intacct, Import.io) for real-time business analytics.
- 📬 Email: patlolla.akhil@gmail.com
- 💼 LinkedIn: linkedin.com/in/akhilreddypatlolla
- 🗂 Resume: Download PDF
“Turning complexity into clarity — one pipeline at a time.”



