Big Data Cloud Analytics Developer Resume

Professional Summary:

Over 9 years of IT experience in application design, development, testing and technical support and guidance in Python, Big Data and Cloud Tools.
Experience working in all stages of Software Development Life Cycle (SDLC) including Requirements, Analysis and Design, implementation, integration and testing, deployment and maintenance.
Hands on experience in using Hadoop Technologies such as Map Reduce, HDFS, Hive, Spark, Oozie, Pig, Kafka, Flume, NiFi, Impala, Storm, Zookeeper
Hands - on experience in Import / Export the data using Sqoop from HDFS to RDBMS and vice-versa.
Good experience with Cassandra NoSQL Database.
Good Understanding with distributed technologies such as Spark and Hadoop.
Integrated Apache Kafka for data ingestion.
Good understanding of machine learning algorithms, statistical analysis and predictive modeling.
Developed large scale data ingestion pipelines and involved in designing robust ETL workflows
Hands-on experience in AWS Cloud platform and its features which includes services like: EC2, S3, EBS, VPC, ELB, IAM, Glacier, Elastic Beanstalk, Route 53, Auto scaling, LAMBDA, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation.
Experience in using AWS SDK Java, Python.
Experience in uploading the data, Host Static Websites, Encrypt Data, Implement Bucket Policy and Setup CORS in S3 using, Web Console, AWS CLI and AWS SDK for Python (Boto3).
Experienced with Jenkins as Continuous Integration / Continuous Deployment Tool and strong experience with Ant and Maven Build Frameworks.
Exceptional expertise in technologies such as Core Java, HTML5, CSS3, AJAX, XHTML, JavaScript, CSS, jQuery, JQuery Mobile, Bootstrap, Dojo, Backbone.js, Node.js and AngularJS.
Experience in Data visualization tools using Tableau.
Hands on experience with Rundeck to run a job.
Strong abilities in Design Patterns, Database Design, Normalization, writing Stored Procedures, Triggers, Views, Functions in MS SQL Server, Oracle and PostgreSQL.
Adept at preparing business requirements documents, defining project plans, writing system requirements specifications.
Developed a data pipeline using Kafka and Strom for real-time streaming to store data into HDFS
Experience in using Sqoop, Zookeeper and cloud-based computing Manager Services through Zookeeper.
Worked on Python classes from the respective APIs so that they can be incorporated in the overall application.
Experience with setting up and developing flows in Apache NiFI using processer and groups
Worked with different distributions of Hadoop like Hortonworks and Cloudera
Worked on using different file formats like Sequence, AVRO, ORC files, Parquet files and CSV using different compression Techniques.
Experience in Apache Flume for collecting, aggregating and moving large amounts of data from application servers.
Expertise in writing Hive UDF, Generic UDF's to incorporate complex business logic into Hive Queries.

We provide IT Staff Augmentation Services!

We'd love your feedback!

Resume Categories

Client Services

Job Seekers

Visa Sponsorship