Application Developer - AWS Cloud Migration

a)Build scalable Data Lake solutions that connects to distributed data storage using multiple data connectors.
b)Ability to lead proofs-of-concepts and then effectively transition and scale those concepts into production at scale through engineering deployment and commercialization.
c)Design develop and deploy scalable data pipelines on AWS using technologies such as AWS Glue AWS Lambda Amazon Redshift or Amazon EMR.
d)Implement efficient ETL processes to extract transform and load data from various sources into data lakes data warehouses or analytical platforms.
e)Optimize data pipelines for performance scalability and cost-efficiency considering factors such as data volume processing time and resource utilization.
f)Developed scripts for performing transformations on payment’s data using Scala.
g) Configured Spark Streaming to receive real time data from the Apache Kafka

a) In-depth knowledge of core AWS services such as EC2 Lambda S3 RDS DynamoDB API
Gateway etc.
b) Expertise in working with database services like Amazon RDS DynamoDB ElastiCache.
c) Knowledge of database design optimization and performance tuning.
d) Skilled in Implementing security best practices using IAM (Identity and Access
Management) VPC (Virtual Private Cloud) Security Groups and encryption mechanisms.
e) Skilled in BI tools such as Power BI Tableau Business Objects Cognos and SQL Server Reporting Services.

a) Possess a wealth of domain expertise in sectors such as Insurance Banking and Finance
b) Knowledge of Hadoop (CDP) relational databases and SQL ETL development data validation and testing Data Analysis and experience with Hadoop technologies such as Hive Impala Sqoop Hue Spark Python of Hadoop Platform