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Veda Anand - AWS/GCP/AZURE/DATABRICKS/MI/AL

[email protected]

Location: Auburn Hills, Michigan, USA

Relocation: No

Visa: GC

Resume file: Ravikanth_Machapur_SDE_1761656559926.pdf Please check the file(s) for viruses. Files are checked manually and then made available for download.

RAVIKANTH MACHAPUR STAFF DATA ENGINEER AWS/GCP/AZURE/DATABRICKS/MI/AL DETROIT MI| (310) 972 0467 | [email protected]| https://www.linkedin.com/in/ravikanth-ravan/ Staff Data Engineer and Consultant with 16+ years of progressive experience, evolving from hands-on development to leading large-scale projects and engineering teams. Over the past 8 years, I have expanded my expertise in data architecture, cloud platforms (AWS, Azure, GCP, Databricks), and modern data engineering practices, while strengthening my leadership and project management skills. I specialize in designing and optimizing data pipelines, implementing scalable frameworks, automating workflows, and driving architectural modernization to deliver high-impact, business-critical solutions. Recognized for combining deep technical expertise with strong leadership to empower teams, reduce technical debt, and deliver solutions at enterprise scale. EXPERIENCE 2019 Present Staff Data Engineer | Fandango | Beverly Hills, CA Acted as SME for three major LOBs: Ticketing (Fandango), Home Entertainment VOD (Vudu), and Movie Review Aggregation (Rotten Tomatoes). Designed, planned, and implemented sales and finance data pipelines into AWS S3 Data Lake and Redshift Data Warehouse. Processed large-scale data using EMR, Spark, Glue, and Airflow to support analytics and reporting. Led migration from Talend/legacy pipelines to MWAA, Glue, and Lambda, adopting a Medallion architecture for scalability and quality. Automated thousands of pipelines with Datadog, Slack, and PagerDuty integration, enabling proactive monitoring, debugging, and 24/7 incident response. Partnered with leadership to prioritize tech debt and build processes that empowered data engineers in daily operations. 2018 - 2019 Sr Big Data Engineer/Architect | Molina Health Insurance | Long Beach, CA Improved performance of Cloudera cluster by analyzing Cloudera stats Designed and implemented Optum Data Extracts and HCG Grouper Extracts Improved Solr Data Ingestion and data quality for Medley Pipeline Built pipelines using Scala, Spark, Hive, and Hbase tools. Automated workflows using Talend Big Data and Autosys Developed NiFi data flow templates and processors for data ingestion and processing. Worked on speech analytics and structured content extraction. Implemented sentiment analysis and text analytics applications. Created and implemented applications on Oracle Big Data Discovery for data visualization. Collaborated with DevOps teams for NiFi deployment using Ansible and Jenkins 2017--2018 Sr Big Data Engineer/Architect | Cognizant (AAA) | Costa Mesa, CA Gathered and documented detailed business requirements for quick wins. Developed cloud architecture on AWS for ETL pipelines and ML use cases Designed and developed ETL workflows using Java for data processing 2016 2017 Sr Big Data Advance Analytics Consultant | Cognizant (PSE) | Bellevue, WA Developed MapReduce jobs in Java for data cleaning and preprocessing. Used Flume, Sqoop, and Pig for data extraction and transformation. Managed and reviewed Hadoop log files Analyzed and transformed data from relational databases into HDFS. Developed simple and complex MapReduce programs in Java. Worked on partitioning Hive tables and optimizing scripts. Analyzed and cleansed raw data using Hive queries and Pig scripts. Used Oozie for batch processing and scheduling workflows. 2015 - 2016 Sr Big Data Engineer | Schneider National |Green Bay, WI Speech Analytics Automation Turn Down Analytics 2011--2013 Sr Programmer Associate | Cognizant | Hyderabad EDUCATION Masters | Computer Science | California State University Long Beach | 2015 Certificate in AI Promoting/Modelling/Ethics | 2025 | University of Arizona Bachelors | Information Technology | Osmania University (Vasavi) Hyderabad | 2011 SKILLS Data warehouse Cloud Data Analysis Project Management Solution Architecture Python/Java/SQL Tech Infrastructure Visualization Keywords: artificial intelligence machine learning sthree Alabama California Michigan Washington Wisconsin