Laxman Rao Tulluru
Sr Aws Data Engineer @Johnson & Johnson
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WORK HISTORY
Sr Aws Data Engineer @Johnson & Johnson
US
Key Contributions & Responsibilities:•Leading the Data Market Place project, a custom-built product enabling users to access and shop for data.•Designed and implemented an Enterprise Data Lake to support analytics, reporting, and large-scale data processing.•Developed fine-grained security frameworks for AWS S3 using Lambda and DynamoDB to ensure controlled access to data.•Built ETL pipelines and automated data transformations using Spark, EMR, and Redshift, optimizing data ingestion and storage.•Integrated Kerberos authentication for secure access to HDFS, Hive, Pig, and MapReduce on big data clusters.•Engineered machine learning solutions using Python to predict user order quantities, leveraging Kinesis Firehose and S3 Data Lake for real-time data ingestion.•Optimized AWS EC2 resource costs by implementing Lambda functions with Boto3 for automatic deregistration of unused AMIs.•Developed Spark-based ETL frameworks for seamless migration of data from RDBMS to Data Lake, utilizing Hive and Spark Data Sources.•Conducted data preparation and blending using Alteryx and SQL, enabling seamless Tableau Server integration.•Designed Kibana dashboards for real-time log analytics, integrating Elasticsearch and Logstash for end-to-end monitoring.•Implemented AWS Step Functions and Apache Airflow to automate and orchestrate Amazon SageMaker ML workflows, ensuring seamless model training, deployment, and monitoring.•Built SSIS packages for ETL processes, integrating with SSAS (OLAP Cubes) and SSRS reports to support business analytics.
EDUCATION
Nalla Malla Reddy Engineering College
Bachelor's degree
Auburn University at Montgomery
Master's degree
ABOUT LAXMAN RAO TULLURU
I am a passionate and results-driven Data Engineer with over 4 years of experience building scalable data pipelines, optimizing workflows, and enabling data-driven decision-making. I recently earned my Master’s in Computer Science from Auburn University at Montgomery (May 2024) and bring a unique blend of academic knowledge and hands-on expertise to my work. My professional experience includes: •Designing and managing large-scale data systems using Hadoop, Spark, and AWS. •Migrating Oracle data warehouses to Snowflake and working with cloud platforms like AWS and Azure. •Building real-time and batch data pipelines using Apache Kafka, Apache Airflow, and ETL tools like Talend and Informatica. •Creating insightful visualizations using Tableau and Power BI, helping teams make data-driven decisions. •Proficiency in tools like HDFS, Hive, Pig, and Sqoop, as well as programming languages like Java, Python, and SQL. I thrive in collaborative environments, enjoy solving complex data challenges, and am always looking for opportunities to grow and apply cutting-edge technologies. Let’s connect and discuss how we can work together to turn data into insights that drive success.
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