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Ameya K.
☁️ Software Engineer - Full-Stack 💻
About
Ameya Katre is a highly experienced Big Data Engineer currently working at Amazon. With almost 18 years of relevant experience, he has established himself as an expert in the field of Data Engineering and Big Data. Prior to his current role, Ameya has worked as a Principal Data Engineer and Scientist at Dish Network and as a Senior Data Engineer at eBay. His experience in these companies has given him a deep understanding of the industry and has honed his skills in the field of Data Engineering. Ameya's educational background includes a degree from the University of Mumbai, where he completed his education in Research Science. He has also completed his studies in Data Engineering and Big Data, making him well-versed in the latest technologies and trends in the industry. As a Big Data Engineer, Ameya has a strong tech stack that includes Data Engineering, Big Data, and Research Science. He is a highly analytical individual with a keen eye for detail, which enables him to identify and resolve complex issues quickly and efficiently. Ameya is a dedicated and hardworking professional who is passionate about his work. He enjoys taking on new challenges and is always looking for ways to improve his skills and knowledge. His ability to work well under pressure and deliver results has made him a valuable asset to any team he works with. Overall, Ameya Katre is an accomplished Big Data Engineer with a wealth of experience and expertise in the field. His skills, knowledge, and dedication make him a valuable addition to any organization looking to leverage the power of Big Data.
Education
Companies
• amazon
• dish network
• ebay
• teklink international inc
• altria
• teradata
• ncr corporation
Experience
19.3 Years
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ab initio
ad hoc reporting
agile methodologies
Algorithms
Amazon Athena
Amazon Elastic MapReduce (EMR)
Amazon Relational Database Service (RDS)
Amazon S3
Amazon Simple Notification Service (SNS)
amazon web services
Amazon Web Services (AWS)
analytical skills
apache
Apache Hive
apache kafka
apache pig
Apache Pig
apache spark
Apache Spark
Apache Spark Streaming
Application Programming Interfaces (API)
Architectural Design
architecture
architectures
AWS Glue
AWS Lambda
Backend
big data analytics
business analysis
business intelligence
Business Intelligence (BI)
business objects
CI/CD
cloud computing
Cloud Storage
Collaboration
Communication
Containerization
couchbase
Couchbase
Data Analysis
data integration
data modeling
Data Modeling
Data Processing
Data Visualization
Data Warehouse
data warehouse architecture
data warehousing
Data Warehousing
database design
databases
datastage
Design
development operations
Docker
ECS
Elastic Search
Elastic Stack (ELK)
elasticsearch
ElasticSearch
erwin
etl
finance
Frontend
Google Cloud Platform (GCP)
hadoop
Hadoop
HDFS
hive
Hive
ibm tivoli
informatica
infra
Infrastructure
Integration
java
Java
Jest
JUnit
Kafka
Keras
Kibana
LAMP
Leadership
linux
Logstash
machine learning
Machine Learning (ML)
master data management
Microservices
Mockito
MongoDB
MySQL
nginx
Nginx
open source
Operational Planning
optimization
oracle
Parallel Computing
performance tuning
PostgreSQL
Prioritization
project management
Project Management
pyspark
python
Python
query optimization
R
React Hooks
Redis
Research Scientist
Scikit
Scikit-Learn
sdlc
Serverless Computing
Shell Scripting
Snowflake
Software Engineer
solr
splunk
Splunk
sql
SQL
sql server
sqoop
Sqoop
statistical modeling
storage
streaming media
tableau
Tableau
team leadership
teradata
Teradata
test
Typescript
ui
unix
User Acquisition
User Experience (UX)
Vision
Web
Web Services
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Contact Details
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