Anjaneyulu Gunti

About Anjaneyulu Gunti

With over 12 years of experience in designing and delivering large-scale data warehousing, reporting, and analytical solutions. My expertise includes handling large datasets, data modeling, ETL development, and optimizing data pipelines for performance and scalability.At Amazon, I transformed data architecture to establish a robust, data-driven culture, architecting cloud-native AWS data lake solutions that reduced processing times by 30% and improved query performance by 45%. I designed and optimized real-time and batch data pipelines, achieving 99.99% data availability for seamless global analytics. Additionally, I configured and managed large-scale infrastructure using AWS services for data and AI/ML applications, driving innovation and operational efficiency.Tech Stack:• AWS Services: Lambda, ECS Fargate, Glue, EMR, S3, DynamoDB, Redshift, QuickSight, Athena, CloudWatch, Kinesis, SQS, CloudFormation.• Programming & Querying: Python, SQL, NoSQL, Scala, Spark.• ETL & Data Pipelines: Apache Airflow, Kafka Streams, Spark Streaming, Informatica, Hadoop, Presto, Snowflake, Sqoop.• Data Engineering & BI: Data Warehouse, Data Lake, Data Modeling, Business Intelligence, Supply Chain Analytics, Tableau, QuickSight.• Data Science & ML: Python (NumPy, Pandas, Scikit-learn), TensorFlow, Productionizing Models, Supervised Learning, Data Labeling, LLM Agent Training.• Infrastructure Management: Terraform, CI/CD (AWS Code Pipeline), Kubernetes, Docker.• Security & Compliance: GDPR, CCPA, Data Residency, Cloud Vulnerability Management, IAM, Role-Based Access Control (RBAC), Data Encryption.I am passionate about fostering a culture of collaboration, innovation, and diversity while driving value through data, enabling informed decision-making, and fueling business success.

Experience

1. Sr Data Engineer

   Amazon

   Jan 2024 — Present · WA, US

   Team: Amazon Vulnerability Management: Responsible for collecting host and container inventory, executing security scans to identify package and OS vulnerabilities, enriching findings with centralized remediation recommendations (NVD and Ubuntu), and notifying builders and teams for vulnerability remediation.Data Integration & Security Posture: Designed and developed data integration pipelines to capture AWS host OS and container vulnerabilities across Amazon’s subsidiary internal networks, improving visibility and assessment of Amazon’s security posture.Designed and implemented high-performance data pipelines processing terabytes of data using Apache Airflow, AWS CloudFormation, ECS Fargate, Glue, Kinesis, Lambda, Redshift, S3, and other AWS tools to ensure efficiency and scalability.Led the modernization of container vulnerability scanners and vulnerability management systems, significantly enhancing performance, scalability, and reliability. Improved data processing efficiency and introduced data quality monitoring tools to ensure accuracy.Architected and developed a centralized AWS Vulnerability Management Data Lake, achieving 60% faster processing and 40% improved query performance. Designed high-availability pipelines (99.99% uptime) and led the development of the BIE platform, reducing data retrieval times by 45%.Architected, developed and managed a Single Source of Truth (SSOT) for AWS container vulnerability scanning and management datasets, enabling security teams and business analysts to generate weekly business review (WBR) reports and critical management metrics. Developed optimized data store designs and applied Redshift Query optimization techniques, reducing CPU utilization and improving performance.Partnered with security engineers, BIE teams, and program managers to translate business requirements into scalable technical solutions.

Education

• Jawaharlal Nehru Technological University-HYD

  Engineer’s Degree, Computer Science

  2006 — 2010

• Osmania University

  Master’s Degree, Computer Science

  2010 — 2012

Skills

• Hbase
• Informatica Data Quality(Idq,Address Doctor)
• Core Java
• Teradata 14
• Pl-Sql
• Oozie
• Python
• Informatica 9.0.1
• Scala
• Mapreduce2
• Shell Scripting
• Sql
• Oracle 10g
• Apache Pig
• Spark Sql
• Sqoop
• Pl/Sql
• Apache Hive
• Spark Streaming
• Spark Core
• Hdfs