Madhuri Allumalla

# Over 3+ years of experience in data engineering, data warehousing, and big data analytics with expertise in designing and implementing scalable data pipelines and ETL processes. # Proficient in cloud platforms including AWS, Azure, and GCP with hands-on experience in data lake architectures and real time streaming solutions. # Extensive experience with Apache Spark, Hadoop ecosystem, Kafka, and distributed computing frameworks for processing large-scale datasets. # Strong expertise in SQL, Python, Scala, and Java for data manipulation, transformation, and automation of data workflows. # Skilled in data modeling, schema design, and optimization techniques for both relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Cassandra. # Experience with containerization technologies like Docker and Kubernetes for deploying data applications in microservices architecture. # Proficient in CI/CD pipelines, version control systems (Git), and infrastructure as code using Terraform and CloudFormation. # Strong background in data governance, data quality frameworks, and implementing security best practices in data engineering solutions. # Experience with business intelligence tools like Tableau, Power BI, and data visualization techniques for stakeholder reporting. # Excellent communication skills, problem-solving abilities, adaptability, and team player passionate about learning innovative technologies.