Total Training hours: 50hrs ++

Project work: 10hrs ( student will do project during and after training completion and submit to me ).

Candidate will learn – deep dive into Following Services

AWS Storage
EMR
Redshift
Athena
Glue
Kinesis
Lambda
Amazon Security
Cloud9 , Boto3
Aka – S3 , DynamoDB
Pyspark Life cycle with EMR
Amazon Redshit
Amazon Devops (Git Integration ,Code Commit , , Code build , Deployment , CI/CD pipeline )
Pyspark
Databricks

Prerequisite:

Basic SQL

Basic Python
Basic Linux
Fundamental Spark - Spark SQL knowledge .

Goal: After completion of training – candidate

Candidate can attend interview 4yrs exp into AWS – Egineering
AWS Certification

Working many POC / real time project experience hands practices during training .

Student will perform practices and understand clearly from basic to advance . I will deliver module wise training with lots of assignment .

Candidate can write certification for databricks certified professional or associate professional after completion on training . they can try job with 4yrs exp in their profile . I help them during their interview also .

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About the Trainer

4.8 Avg Rating

235 Reviews

346 Students

17 Courses

Amit Raj

MSCIT

18 Years of Experience

About Me :
• Overall total 14.5+ years of Experience years of Experience in Application Design, Development & Deployment of Hadoop Eco System/Java/J2EE systems with good exposure to Enterprise Architectures.
• Relevant Experience 8.2 yrs into Big Data technologies working on multiple clients and domain knowledges.
• Experienced in Cassandra data modelling, cluster setup and data management.
• Experienced in working with Spark-RDD, Spark SQL and Spark Data Frame using MLIb to analyze structure data queries.
• Experienced to design solution using Spark Streaming and Kafka Streaming for Payment Gateway / point of sales events.
• Individual Contribution (Kafka Architect) : Delivered UAT and PROD Cluster within the timeline for Kafka cluster using Cloudera 6.x, CSP 2.0 .
• Implemented unified data platform to gather data from different sources using Kafka Producers and consumers in Scala and java.
• Solid background in Object-Oriented analysis & design, UML and various design patterns.
• Worked using Azure cloud(Blob,EventHub),kubernetes ,docker with Spark, scala ,Schema Registry , Avro Schema with home security application for Honeywell
• Implemented KSQL ,KTable and KStream using Confluent Kafka along with Kafka Connect .
• Hands on Data bricks - Databricks Clusters , Data Lakehouse , Delta lake , DBFS, EXPLORE, Analyze, Clean, Transform and Load Data in Databricks.
• Hands on Azure service - ADF ,ADLS ,Event hub, Security , NoSQL
• Motivated Technical Architect with 5 years of progressive experience.
• Energetic self-starter and team builder. Navigates high-stress situations and achieves goals on time and under budget.
• Effectively manages assignments and team members.
• Dedicated to self-development to provide expectation-exceeding service. Customer-focused , successfully contributing to company profits by improving team efficiency and productivity.
• Utilizes excellent organizational skill to enhance efficiency and lead teams to achieve outstanding delivery.

SKILLS
• Database architecture
• Database architecture development
• Data architecture
• Big Data ETL
• Technical solution development
• Azure data solutions
• Data insight provision
• Technical guidance
• IT architecture
• Technical solutions
• Big data frameworks

Technical Skills:

Hortonworks2.5, Cloudera5/6, Apache Hadoop2/3 ,Spark2/3,Apache Kafka, Confluent Kafka, Hive 2/3,Impala,Sqoop,OOZie,Zookeeper, Apache NiFI, Splunk ,Snowflake, Data Build tool (DBT) , HBase, Apache Cassandra /DataStax Cassandra , Data bricks , Azure Cloud , AWS cloud ,Airflow etc. .
Programming Language Python ,Scala & Java
Other Tools Kibana,Logstash,ElasticSearch,ELK-Hadoop,SBT, Elassandra, Tableau,