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prashanth - Data Engineer

[email protected]

Location: Dallas, Texas, USA

Relocation:

Visa: H1B

SUMMARY Around 10+ years of extensive IT experience as a data engineer with expertise in designing data-intensive applications using Hadoop Ecosystem and Big Data Analytical, Cloud Data engineering (AWS, GCP), Data Visualization, Data Warehouse, Reporting, and Data Quality solutions. Accomplished Data Engineer with extensive experience in data architecture and cloud computing. Proficient in designing and implementing data solutions on both AWS and GCP, enabling advanced data management. Expertise in ETL processes, data pipeline management, and successful execution of data migration projects with a focus on data integrity and minimal downtime. Strong commitment to data security and compliance, implementing robust access controls and encryption mechanisms to meet industry standards. Effective collaboration with cross-functional teams and clear communication with business stakeholders to align technical solutions with organizational objectives. Holds prestigious certifications, including AWS Certified Data Analytics - Specialty demonstrating dedication to staying current with industry trends. Proficiency in key programming languages like SQL and Python, coupled with data visualization skills using Tableau and Power BI, for extracting actionable insights from data. Proven track record in fraud prevention, process optimization, and continuous learning, contributing to enhanced operational efficiency and data-driven decision-making. Exceptional analytical and problem-solving skills, consistently delivering impactful data-driven solutions to address complex challenges. Expertise in data warehousing, including schema design (Star and Snowflake schemas) and efficient data management using AWS Glue, Redshift, and DataSync. Hands-on experience with GCP tools such as BigQuery, Data Proc, and Cloud Storage, further expanding capabilities. Proficiency in orchestration with Apache Airflow and data processing using Databricks, streamlining data workflows. Familiarity with version control using Jenkins and Docker for CI/CD pipelines, ensuring efficient development and deployment processes. A dynamic and adaptable Data Engineer capable of delivering sophisticated data solutions to drive organizational success. Committed to continuous professional growth and staying at the forefront of data engineering trends. Equipped with a diverse skill set and a history of successfully tackling complex data challenges. A valuable asset with a demonstrated ability to transform raw data into actionable intelligence, enabling data-driven decision-making within organizations. SKILLS Data Engineering with Cloud: Amazon Web Services (AWS), Google Cloud Services (GCP) Big Data Technologies: Hadoop (HDFS, MapReduce), Apache Kafka, Spark, & Airflow, Apache Hadoop YARN Cloud Computing: AWS (Amazon Redshift, S3, Glue, EC2, EMR), Snowflake, Google Cloud Platform (Google BigQuery, Cloud Storage, Dataproc, Dataflow) Programming Languages: Python, PySpark, SQL, UNIX Container Platforms: Docker, Kubernetes, Jenkins, CD/CI Databases: Hive, MySQL Server, PostgreSQL, Oracle 11g, SparkSQL, Mongo DB, Cassandra, MS Excel, MS Access Version Control: Git Software Tools: MS Visio, Jupyter, Tableau, Looker Operating Systems: Windows, Ubuntu, Linux, Unix, MAC Software Methodologies and Skills: Kibana ElasticSearch (Monitoring and Logging), Performance Tuning Keywords: continuous integration continuous deployment business intelligence sthree database information technology microsoft