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



