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Veda Anand - AWS/GCP/AZURE/DATABRICKS/MI/AL
[email protected]
Location: Whitmore Lake, Michigan, USA
Relocation: No
Visa: GC
Resume file: Ravikanth_Machapur_SDE_1761830621032.docx
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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

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