Amar Petla

CTO

Peoria, Arizona, United States11 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI-driven data architecture and cloud-native platforms.
Proven leadership in cross-functional data engineering teams.
Significant experience in optimizing large-scale data platforms.

Stackforce AI infers this person is a Data Engineering expert with a focus on AI/ML solutions in SaaS environments.

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Skills

Core Skills

Data EngineeringAi/mlCloud ArchitectureData GovernanceOperational ExcellenceCloud ComputingSoftware Development

Other Skills

AWS LambdaAmazon S3Amazon Web Services (AWS)American ExpressAnomaly detectionApache AirflowApache ImpalaApache PigApache SparkApache Spark MLApache Spark StreamingApplication ArchitectureArchitectureAspose cellAutosys

About

At Freeport-McMoRan, the focus is on designing and deploying AI-driven data architectures, leveraging Snowflake Cortex, Snowpark, and cloud-native platforms to transform business analytics into intelligent systems. The team integrates generative AI for real-time summarization, semantic search, and advanced classification, enhancing operational decision-making. By modernizing large-scale data platforms and implementing hybrid table models, they enable seamless, high-performance transformations that empower data-driven strategies. With over two years of experience in data engineering, including impactful contributions at Achieve, the emphasis has been on building scalable infrastructures and delivering robust solutions with Apache Spark ML. Collaboration with cross-functional teams has been critical in developing systems that optimize big data capabilities, reflecting a shared commitment to fostering innovation and unlocking new business insights.

Experience

11 yrs 6 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs

Current Experience

Freeport-mcmoran

Data Engineering Leadership | AI/ML | Modern Data Platforms

Sep 2023 – Present · 2 yrs 9 mos · United States · Hybrid

🔹 AI-Driven Architecture & Snowflake Cortex Solutions
Designed and deployed AI-powered data products using Snowflake Cortex, enabling real-time summarization, semantic search, and classification using LLMs.
Defined Cortex-based architecture strategies, integrating generative AI into production pipelines and business dashboards.
Delivered full-stack AI solutions using Snowflake Cortex, Streamlit, and cloud-native platforms, turning static analytics into intelligent systems.
🔹 Cloud-Native Data Platform Design & Leadership
Led modernization of large-scale data platforms using Snowflake, Snowpark, and hybrid table models, improving performance and reducing transformation time by 30%.
Architected scalable, event-driven data platforms with Azure Event Hub, ADX, and ADF, supporting real-time ingestion and analytics.
Migrated legacy pipelines to the ADF Snowflake Connector, enhancing data integration and reducing operational costs.
🔹 Operational Excellence & Data Governance
Built observability frameworks across ML and data pipelines, achieving 99.9% uptime with proactive anomaly detection.
Developed ADX-based backfill and Azure Function–driven change tracking to improve data completeness and accuracy.
Implemented security and governance controls across cloud platforms, maintaining 100% audit-readiness.
🔹 Cross-Functional Leadership
Led teams of engineers, data scientists, and analysts to deliver scalable AI/ML pipelines.
Acted as a bridge between engineering and business, aligning architecture with finance, forecasting, and reporting use cases.
Increased project delivery speed by 20% through reusable frameworks and standardization.
🔹 End-User Enablement
Built AI-integrated dashboards using Streamlit, increasing user engagement by 40%.
Delivered observability platforms for analytics pipelines, boosting system reliability and response time.