Hi, I'm Baharath Bathula

Senior Data Engineer | Data & AI Architect | Cloud-Native Analytics Specialist

I design, build, and scale enterprise-grade data platforms and AI-ready pipelines on cloud ecosystems (AWS, Azure, GCP).
My work focuses on reliability, performance, governance, and business impact at scale.

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🚀 What I Specialize In

• Designing end-to-end data platforms (Batch + Streaming)
• Building cloud-native ETL / ELT pipelines
• Implementing Data Quality, SLAs, and Observability
• Enabling AI/ML & LLM-ready architectures
• Translating business problems into scalable data solutions

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🛠️ Tech Stack

Cloud: AWS, Azure, GCP
Data Engineering: Spark, Databricks, Airflow, Kafka
Storage: S3, ADLS, Delta Lake, Snowflake
Languages: Python, SQL, Scala
Analytics: Power BI, Tableau
MLOps: MLflow, Feature Stores
DevOps: Docker, CI/CD, GitHub Actions, Terraform

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📌 Featured Projects

🔹 Cloud Data SLA & Observability Framework

• Built a reusable framework to monitor data freshness, volume, schema drift
• Reduced data downtime by 40%
• Designed for enterprise-scale ingestion pipelines

🔗 Repository: cloud-data-sla-monitor

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🔹 Scalable Lakehouse Architecture (AWS)

• Designed a production-grade lakehouse
• Implemented Bronze → Silver → Gold layers
• Enabled analytics + ML workloads from a single platform

🔗 Repository: aws-lakehouse-architecture

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🔹 Real-Time Streaming Data Platform

• Kafka-based ingestion for near real-time analytics
• Spark Structured Streaming processing
• Power BI dashboards on curated datasets

🔗 Repository: real-time-data-platform

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📊 Engineering Philosophy

• Reliability > Speed
• Automation > Manual Processes
• Governance is not optional
• Data products over raw pipelines

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📫 Connect With Me

• LinkedIn: https://www.linkedin.com/in/baharath-bathula-0b0724171/
• Portfolio: (Coming soon)