KarthikĀ Ramakrishnan
Data Engineer
Bellevue, Washington, United States
Summary
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Seniorš
Top SchoolKarthik Ramakrishnan is a data engineer with a decade of experience building large-scale data pipelines and APIs, currently processing petabytes of transaction data at Walmart Global Tech to improve AI model tuning and shrink avoidance. He designs hierarchical Data APIs and reengineered reporting models to provide a single source of truth, cutting query and report times by over 40%. Previously at Gallup he combined backend engineering with text analytics, topic modeling and recommendation systems, and throughout his career has shipped production Airflow workflows and Spark-based ML solutions. Comfortable across the AWS ecosystem and streaming stacks (Kafka, NiFi, Storm), he pairs hands-on implementation with performance tuning and pragmatic data architecture. Based in Bellevue, WA, Karthik blends strong academic foundations in CS with a penchant for turning messy transactional data into actionable insights.
10 years of coding experience
7 years of employment as a software developer
Masters in Computer Science, Computer Science, 3.697, Masters in Computer Science, Computer Science, 3.697 at The University of Texas at DallasData Science and Engineering with Apache Spark, Data Science and Engineering with Apache Spark at edx.org - UC BerkeleyAnna University, ChennaiHigh School, Biology, Physical Sciences, A, High School, Biology, Physical Sciences, A at NSN Matric Hr. Sec School
English, Tamil, Hindi, French
Stackoverflow
13reputation
1kreached
0answers
2questions
Github Skills (14)
twitter7
algorithm6
amazon-ec26
amazon-web-services6
flask6
python5
vocabulary4
java4
spark3
big-data2
css2
hadoop2
data-structures1
javascript1
Programming languages (2)
Github contributions (5)
karthikrk1/WordLete
Oct 2016 - Dec 2017
Contributions:1 release, 3 PRs, 49 pushes in 1 year 2 months
vocabularygameimproving
karthikrk1/big-data-projects
Dec 2017 - Jul 2018
Contributions:140 commits, 8 PRs, 133 pushes in 7 months
hadoopjavabig-dataspark
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