Vikas - Big Data Engineer/Senior Data Engineer |
[email protected] |
Location: Arlington, Texas, USA |
Relocation: Yes |
Visa: GC |
Resume file: vikas_Bitla_1747081341197.docx Please check the file(s) for viruses. Files are checked manually and then made available for download. |
Vikas
Senior Data Engineer Best Regards.. Louis IT Sales recruiter [email protected] +1 (732) 347 6970; EXT: 211 linkedin.com/in/kalyani-mahesh-442ab0259. 7 Lincoln Highway, Suite 227B, Edison, NJ 08820 www.cognitech.tech/ Professional Summary: 10+ years of experience as Data Engineer with strong expertise in design, development and maintenance of enterprise analytical solutions using Big Data Technologies. Solid grasp of Data Modelling, Data Validation, and Data Source Evaluation, along with a deep understanding of Data Warehouse and Data Mart Design, ETL, BI, OLAP, and Client/Server applications on AWS and Azure, Snowflake & MangoDB. platforms. Skilled in implementing CI/CD pipelines using tools like Jenkins, Git, and scripting in Linux for automation of ETL workflows and infrastructure provisioning Experience in utilizing analytical applications like Python to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into risk management and marketing strategies that drive value. Proficient in data extraction, transformation, and loading using Azure Data Factory, T-SQL, and Spark SQL. Technical Skills: Languages Python, Scala, Java, SQL, PL/SQL, PySpark Databases Oracle 9i/10g/11g/12, SQL Server 2000/2005, MS SQL, HBase, MongoDB, MySQL, Cassandra, Snowflake, DynamoDB, PostgreSQL Bigdata Technologies Apache Spark, Scala, Kafka, HDFS, Hive, Pig, MapReduce, Zookeeper, Sqoop, Oozie, Nifi, and Impala ETL Tools Informatica Power Center 10.x/9.x/8.x Development IDE`s Eclipse, Visual Studio Code, Toad, SQL Developer Logging & Monitoring Splunk, CloudWatch, Log4J, SLF4J, Zipkins, Grahana Operating Systems UNIX, Linux, Ubuntu, Windows XP/2000/VISTA Cloud Technologies AWS (Lambda, EC2, S3, SNS, CloudWatch, CloudFormation, RDS, VPC, Auto Scaling, IAM, AWS Glue, AWS Batch, AWS DMS, Code Build, Code Deploy), Microsoft Azure (Azure Databricks, Azure Data Factory, Azure Data Explorer, Azure HDInsight, ADLS), Google Cloud Platform (Big Query, Compute Engine, Cloud Functions, Cloud DNS, Cloud Storage, Cloud Deployment Manager). Version Control Tools CVS, SVN, GitHub, JIRA and Bitbucket Test Frameworks Junit, Mockito Methodologies Agile (Scrum), Waterfall Keywords: continuous integration continuous deployment business intelligence sthree information technology microsoft procedural language New Jersey |