VENU BABU TELLAGORLA
Data Engineer | Cloud Data Architect | Analytics Engineering Leader
Memphis, US.About
Highly accomplished Data Engineer with 2+ years of experience designing and optimizing enterprise-scale cloud data platforms to drive strategic growth and business transformation. Proven expertise in architecting scalable solutions for petabyte-scale data processing, implementing real-time analytics systems, and building self-service business intelligence platforms. Adept at leveraging modern data engineering technologies, including cloud-native architectures and automated data pipelines, to deliver data-driven solutions that significantly optimize costs and enhance operational efficiency.
Work
Memphis, TN, US
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Summary
Engineered and optimized enterprise data platforms and real-time analytics solutions for business intelligence and strategic growth.
Highlights
Engineered scalable event-driven architecture, processing over 5M daily records with Kafka, Spark, and Python, enabling real-time BI and microsecond latency across hybrid cloud infrastructure.
Designed a comprehensive customer 360-degree platform, integrating diverse data to improve lifetime value predictions by 35% through advanced analytics and cross-channel attribution.
Implemented automated compliance monitoring with Apache Beam and DataFlow, reducing regulatory reporting time from 5 days to 4 hours while ensuring complete audit trails and data lineage.
Optimized the SDLC through CI/CD automation and containerization (Docker, Kubernetes, IaC), improving deployment efficiency by 45%.
Developed a multi-cloud strategy, reducing storage and compute costs by 30% via intelligent resource allocation and auto-scaling policies.
Memphis, TN, US
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Summary
Developed and optimized data integration platforms and predictive analytics solutions, driving operational efficiency and cost reduction.
Highlights
Built a comprehensive integration hub using NiFi and DataStage, reducing data retrieval time by 40% through optimized modeling and indexing.
Designed a privacy-compliant analytics framework with Flink and Snowflake, enabling advanced data science while maintaining strict security and compliance.
Implemented an intelligent alerting platform processing continuous streams with Kinesis and Lambda, improving operational response times by 15%.
Created predictive models using TensorFlow and Scikit-learn, reducing operational costs by $2M annually through automated reporting dashboards.
Led cross-functional teams in delivering over 15 data projects with zero incidents, leveraging Agile and comprehensive testing frameworks.
Skills
Programming
Python, Django, Flask, Pandas, NumPy, SQL, PySpark, Scala, R, Java, JavaScript, Bash, Shell Scripting.
Data Engineering
Apache Spark, Kafka, Flink, Airflow, dbt, Beam, NiFi, DataStage, ETL/ELT, Real-time Processing, Batch Processing.
Cloud Platforms - AWS
S3, Lambda, Glue, Kinesis, EMR, RDS, CloudFormation, Step Functions.
Cloud Platforms - Azure
Data Factory, Synapse Analytics, Data Lake Storage, ARM Templates, Logic Apps.
Cloud Platforms - GCP
BigQuery, Pub/Sub, DataFlow, Cloud Functions, Cloud Composer.
Databases
Snowflake, Redshift, BigQuery, MongoDB, Cassandra, DynamoDB, PostgreSQL, MySQL, Oracle, Redis, NoSQL.
Data Architecture
Data Mesh, Event-Driven Architecture, Data Lakehouse, Microservices, API-First Design, Data Modeling, Data Governance, Optimized Storage, Compute Resources, Network Architecture, GDPR, HIPAA, SOX Compliance, Automated Audit Trails, Data Lineage, Encryption, Governance Frameworks.
Analytics and Business Intelligence
Tableau, Power BI, Looker, Grafana, Statistical Analysis, Data Visualization, Self-Service Analytics, Reporting, Dashboards, Democratized Analytics, Intuitive Dashboards, Automated Reporting, Streaming Analytics, Sub-second Business Rule Execution, Operational Automation.
Machine Learning and AI
TensorFlow, PyTorch, Scikit-learn, MLflow, MLOps, Model Deployment, Feature Engineering, Predictive Analytics, Statistical Modeling, AutoML, Production ML Pipelines, Continuous Model Monitoring.
DevOps
Docker, Kubernetes, Terraform, CI/CD, Jenkins, GitHub Actions, Infrastructure as Code, Auto-scaling, CI/CD Frameworks, Release Cycle Reduction, Production Stability.
Data Quality & Governance
Apache Atlas, Great Expectations, Monte Carlo, Data Lineage, Privacy Engineering, Compliance.
Software Development
Agile Methodology, Scrum, Kanban, SDLC, Version Control, Git, Problem Solving, Technical Documentation, Code Review.
Technical Leadership
System Integration, API-First Architecture, REST APIs, Microservices, Zero-Downtime Deployments, Cross-Functional Leadership, Stakeholder Relationships, Technical Communication, Development Teams, Business Analysts, Executive Leadership.