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Experienced Office Management and Administration Professional experienced optimizing productivity, efficiency and service quality across various environments. Highly dependable, ethical and reliable support specialist and leader that blends advanced organizational, technical and business acumen. Works effectively with cross-functional teams in ensuring operational and service excellence.

Senior Data Engineer with over 10 years of experience in data engineering and software development. Expert in optimizing data pipelines, reducing costs, and enhancing data quality. Achievements include reducing daily data acquisition costs by 90%, achieving a 75% cost reduction in Glue job environment, and architecting solutions that led to a significant growth in online sales. Skilled in AWS, Azure, ETL tools, data modeling, and distributed systems. Seeking a Data Engineer position to leverage expertise in building efficient data processing systems and driving analytical insights to support the company's mission of revolutionizing entertainment through data-driven decision-making.


  With over 8+ years of experience in IT solutions, this professional has led enterprise architecture practices and successfully managed large-scale, complex projects across various industries, including Life Sciences, Banking, Retail, Healthcare, Airline, and Automotive. They possess extensive expertise in the analysis, design, development, implementation, and testing of software applications, particularly in Big Data technologies. Their skill set includes hands-on experience with tools and platforms such as Databricks, Azure, AWS, Palantir Foundry, Spark, PySpark, Airflow, Hadoop, Hive, Sqoop, Oozie, HBase, Kafka, MongoDB, Cassandra, Redshift, Snowflake, DynamoDB, and Mode Analytics, demonstrating a deep proficiency in managing and analyzing vast datasets.
  Hands on experience on Spark framework components like Spark Core, Spark SQL, and Spark Streaming.
  Experienced with implementing latest languages like Spark, PySpark, Scala.
  Excellent understanding knowledge of Apache Spark & Hadoop YARN architecture and ecosystem.
  Strong experience in collecting and storing stream data in HDFS using Apache Kafka.
  Experience in column-family based Databases (HBase), DynamoDB.
  Good Experience in job scheduling tools like Airflow, control M, OOZIE
  Experienced with processing different file formats like Avro, Parquet, JSON and Sequence file formats.
  Understanding of Snowflake cloud technology.
  Experience with Snowflake cloud data warehouse and AWS S3 bucket for integrating data from multiple source system which include loading data into snowflake table.
  Worked on implementing a use case on Palantir Foundry using Spark to load the data to AWS S3.
  Hands on experience with various Data modeling techniques for OLTP & OLAP processes
  Experienced in CI/CD using Jenkins, GitHub, SVN
  Experience working in Agile Development process using Scrum.
  Committed to professionalism, highly organized, ability to work under strict deadline schedules with attention to details, possess excellent written and communication skills.
  Ability to work effectively in a multi-cultural environment with a team and individually as per the project requirement.
  Have good ability to understand Functional Specifications and good experience in writing Technical Documents for the required Functional Specifications.
  Good interpersonal and managerial skills. Result oriented, quick learner, hard working with a quest and zeal to learn new technologies.


Senior Data Engineer with over 10 years of experience in Data Engineering, Product Development, and Data Platform Design across Banking, Retail, HR, and Supply Chain domains. Proven expertise in building end-to-end ETL/ELT pipelines, data warehouses, and cloud data ecosystems that support analytics, AI, and business intelligence. Seeking to contribute technical leadership in scalable data architecture, performance optimization, and automation.Designed and deployed data pipelines, ETL/ELT workflows, and data warehouses for enterprise clients including Mastercard, GAP, UPS, and ITC.Delivered data engineering solutions for product development-supporting analytical, predictive, and ML workflows using Python and Spark ecosystems.Partnered with cross-functional teams (Data Science, Product, BI) to ensure data readiness for ML models and analytics.Hands on Talend for data integration, transformation, and automation across AWS and Azure environments.Strong command of SQL, PL/SQL, Spark SQL, Python, and Shell scripting for advanced data manipulation and processing.Experienced in Databricks, Kestra, for orchestration, scheduling, and performance tuning.Hands-on with multiple data stores including Amazon S3, SingleStore, Oracle, Redshift, MySQL, and SQL Server using both columnar and row-based storage.

Steven Hanger

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Senior Data Engineer

Manager, Data Integrity Team

Inside Sales Representative, Software Licensing, +

Education

Master of Science - Library And Information Science

No Degree - Data Engineering

Bachelor of Arts - English

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Master of Science - Library And Information Science

No Degree - Data Engineering

Senior Data Engineer

Manager, Data Integrity Team

Inside Sales Representative, Software Licensing, +

Bachelor of Arts - English

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