Sourabh Hooda

Data Engineer

Bengaluru, Karnataka, India5 yrs 8 mos experience
Highly Stable

Key Highlights

  • Over 4 years of experience in Data Engineering.
  • Expertise in Google Cloud Platform and ETL processes.
  • Proven track record in optimizing data performance.
Stackforce AI infers this person is a Data Engineer specializing in Cloud Computing and ETL solutions.

Contact

Skills

Core Skills

Google Cloud Platform (gcp)Etl & Data Warehouse

Other Skills

AWS GlueAlgorithmsAmazon EC2Amazon Web Services (AWS)Analytical SkillsApache AirflowApache KafkaApache SparkBig DataBigQueryC++CI/CDCascading Style Sheets (CSS)Cloud Pub/SubCloud Run

About

With over 4 years of experience in the Data Engineering field, I have developed a strong expertise in leveraging cutting-edge technologies such as Snowflake, Databricks, PySpark, Python, SQL, and cloud computing. I am seeking a long-term association with a growth-oriented organization where I can contribute my skills and take on added responsibilities. I am passionate about driving data solutions that enhance business outcomes and looking to further my career in a dynamic environment. Hard Skills: Programming: Python | C++ | Unix Shell Scripting | CLI ETL & Data Warehouse: Google BigQuery | Cloud Composer | Apache Airflow | Dataflow | Cloud Data Fusion | Pentaho Data Integration | CICD Cloud Platform: Google Cloud Platform (GCP) | Amazon Web Services (AWS) Big Data Technologies: Apache Spark | Databricks | Hadoop | Hive | Snowflake Databases: MySQL | SQL Server | Teradata | Oracle Data Visualization: Looker | Tableau Soft Skills: Ready To Learn Time management Organizational skills Communication skills Teamwork Conceptual skills Creative thinking Decision making Problem-solving Leadership

Experience

Epam systems

Data Software Engineer

Dec 2024Present · 1 yr 3 mos · Gurgaon, Haryana · Hybrid

Quantiphi

3 roles

Senior Data Engineer

Promoted

Jul 2024Nov 2024 · 4 mos

  • 🔹 Optimized BigQuery performance by partitioning tables, clustering data, and leveraging partition pruning, resulting in significantly faster queries.
  • 🔹 Led a seamless on-prem to GCP migration, optimizing ETL pipelines and reducing run times by 20%.
  • 🔹 Extracted data from Teradata using SQL Assistant, ensuring minimal impact on performance by scheduling extractions during off-peak hours.
  • 🔹 Enhanced query readability and performance by utilizing Common Table Expressions (CTEs) in SQL.
BigQueryETLSQLData MigrationGoogle Cloud Platform (GCP)ETL & Data Warehouse

Data Engineer

Nov 2021Jun 2024 · 2 yrs 7 mos

  • 🔹 Worked on Cloudera to Google Cloud Platform (GCP) migration projects, involving the migration of data pipelines.
  • 🔹 Managed ingestion jobs, transformation jobs, and export framework jobs for the migration process.
  • 🔹 Automated data workflows using scheduled queries in BigQuery to support dashboard development.
  • 🔹 Utilized BigQuery Data Transfer Service for scheduling and managing stored procedure execution as
  • scheduled queries.
  • 🔹 Collaborated with stakeholders to deliver business insights through customized Looker dashboards.
GCPData IngestionData TransformationBigQueryGoogle Cloud Platform (GCP)ETL & Data Warehouse

Data Engineer Intern

Jul 2021Nov 2021 · 4 mos

  • 🔹 BigQuery & Cloud ETL Pipelines: Built and optimized data pipelines using GCP, improving data processing efficiency. 🔹 Data Warehousing & SQL: Worked with large datasets, leveraging advanced SQL techniques and data warehousing concepts to extract actionable insights. 🔹 Data Modeling & Automation: Designed data models and automated workflows for seamless data integration and reporting.
BigQuerySQLData WarehousingETL & Data Warehouse

Chegg inc.

Subject Matter Expert

Mar 2020Apr 2021 · 1 yr 1 mo

Hp

Machine Learning Trainee

May 2019Jun 2019 · 1 mo · New Delhi, Delhi, India

Education

CHANDIGARH UNIVERSITY

Bachelor of Engineering - BE — Computer Science

Jun 2017May 2021

Swami Nitanand Public School

Intermediate — Science

May 2015May 2017

Swami Nitanand Public School

Matriculation — Science

Jan 2014Jan 2015

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