Big Data Developer Resume
Headline : Results-driven Big Data Developer with 7 years of experience in designing and implementing scalable data solutions. Proficient in Hadoop, Spark, and AWS, delivering impactful analytics to drive business decisions.
Skills : Oracle Database, Hadoop Ecosystem, Data Warehousing, ETL Processes
Description :
- Developed and optimized PIG scripts to transform raw data into actionable insights for business users.
- Collaborated with data modelers to design and implement new data models for incoming datasets.
- Designed and deployed Hadoop clusters, leveraging various Big Data analytics tools for enhanced performance.
- Installed and configured Hadoop, MapReduce, and HDFS, developing multiple MapReduce jobs in PIG and Hive for data preprocessing.
- Utilized Spark API on Hortonworks Hadoop YARN to perform advanced analytics on data stored in Hive.
- Developed and deployed custom Hadoop applications in AWS, ensuring scalability and reliability.
- Conducted performance tuning and optimization of existing data processing workflows to improve efficiency.
Experience
5-7 Years
Level
Executive
Education
BS
Big Data Developer Resume
Headline : Results-driven Big Data Developer with 7 years of experience in designing and implementing scalable data solutions. Proficient in Hadoop, Spark, and data migration, delivering impactful insights and optimizing data workflows.
Skills : Hadoop, Apache Spark, Data Migration, ETL Processes, NoSQL Databases
Description :
- Designed and implemented scalable data architectures using Hadoop and Spark for large datasets.
- Migrated data from Teradata and SQL Server to Hadoop, improving data analysis capabilities.
- Developed ETL processes to streamline data ingestion and transformation.
- Utilized Big Data technologies to create technical designs and blueprints for data solutions.
- Collaborated with cross-functional teams to integrate data systems and ensure compliance with standards.
- Optimized Hadoop clusters for performance, resulting in a 25% increase in processing efficiency.
- Conducted training sessions for team members on Big Data tools and best practices.
Experience
5-7 Years
Level
Executive
Education
Bachelor Of Engineering
Big Data Developer Resume
Summary : Results-driven Big Data Developer with 10 years of experience in designing and implementing scalable data solutions. Proficient in Hadoop, Spark, and data warehousing technologies, delivering actionable insights to drive business growth.
Skills : Distributed Databases, Predictive Analytics, Hadoop Ecosystem, Apache Spark, ETL Processes
Description :
- Engineered data ingestion pipelines to process large datasets into HDFS, utilizing MapReduce, Pig, and Hive for data analysis and reporting.
- Developed and maintained shell scripts for automation, enhancing operational efficiency.
- Collaborated in Agile teams to gather requirements and document technical specifications for data solutions.
- Designed and implemented ETL processes using Apache NiFi and Talend, ensuring data integrity and quality.
- Created RESTful APIs for data access, enabling seamless integration with front-end applications.
- Developed interactive dashboards using Tableau, providing stakeholders with real-time insights.
- Automated data workflows using Python and Bash scripts, streamlining data processing tasks.
Experience
7-10 Years
Level
Management
Education
Bachelor Of Engineering
Big Data Developer Resume
Headline : Results-driven Big Data Developer with 7 years of experience in designing and implementing scalable data solutions. Proficient in Hadoop, Spark, and data pipeline development, ensuring high performance and reliability in data processing.
Skills : Hadoop, Spark, Data Modeling, ETL Processes, Data Warehousing
Description :
- Designed and implemented data pipelines using Hadoop and Spark, ensuring efficient data processing.
- Developed and optimized ETL processes to handle large datasets, improving data accuracy and accessibility.
- Created and maintained Hive and Impala queries for data analysis, enabling actionable insights for stakeholders.
- Integrated data from various sources into HDFS, ensuring seamless data flow and storage.
- Automated data ingestion processes using Flume and Sqoop, enhancing operational efficiency.
- Collaborated with cross-functional teams to define data requirements and deliver solutions aligned with business goals.
- Monitored and troubleshot data processing jobs, ensuring high availability and performance of data systems.
Experience
5-7 Years
Level
Executive
Education
Electronics Engineering
Big Data Developer Resume
Headline : Results-driven Big Data Developer with 7 years of experience in designing and implementing data solutions. Proficient in Hadoop, Spark, and data processing frameworks, delivering insights that drive business decisions.
Skills : Apache Spark, ETL Processes, NoSQL Databases, Data Visualization, Spark Framework
Description :
- Integrated diverse data sources using Flume, enhancing data availability in Hadoop.
- Designed and optimized complex Hive tables and queries for efficient data retrieval.
- Analyzed raw data to derive actionable insights, improving decision-making processes.
- Configured and maintained multi-node Hadoop clusters for robust data storage and processing.
- Scheduled and managed data workflows using Oozie, ensuring timely data processing.
- Developed Pig scripts and Java UDFs for data extraction and transformation tasks.
- Executed system upgrades for Hadoop clusters, ensuring minimal downtime and improved performance.
Experience
5-7 Years
Level
Executive
Education
MSc CS
Big Data Developer Resume
Headline : Results-driven Big Data Developer with 7 years of experience in designing and implementing scalable data solutions. Proficient in Hadoop, Spark, and SQL, with a strong focus on optimizing data processing and analytics.
Skills : Data Analysis, Algorithm Optimization, Hadoop Ecosystem, Spark Framework
Description :
- Designed and implemented end-to-end Hadoop jobs using Sqoop, Pig, Hive, MapReduce, and Spark.
- Managed the configuration and maintenance of Hadoop infrastructures, ensuring high availability.
- Optimized existing algorithms in Hadoop, leveraging Spark Context and Spark-SQL for improved performance.
- Developed and executed SQL scripts in Spark for diverse datasets, enhancing processing efficiency.
- Automated data workflows with shell scripts and Control-M, streamlining data ingestion processes.
- Created comprehensive technical documentation, including design specs and operational guides.
- Regularly updated project status reports, ensuring transparency and communication with stakeholders.
Experience
5-7 Years
Level
Executive
Education
BS
Big Data Developer Resume
Objective : Results-driven Big Data Developer with 5 years of experience in designing and implementing scalable data solutions. Proficient in ETL processes, data modeling, and leveraging big data technologies to drive business insights.
Skills : Big Data Technologies, ETL Development, Data Warehousing, Spark Framework, Hive Query Language
Description :
- Analyzed and implemented big data tools like Hive, Impala, and Sqoop for data import from RDBMS to HDFS.
- Designed and developed ETL architecture for seamless data transfer from OLTP to OLAP systems.
- Created comprehensive documentation including Source-To-Target Data mapping and Data Migration plans.
- Executed incremental data imports into HDFS using Sqoop, ensuring data integrity.
- Developed Hive tables and partitions, enabling efficient ad-hoc queries on structured datasets.
- Built custom Hive UDFs to implement complex business logic using Hive QL.
- Utilized list and hash partitioning techniques to optimize Hive table performance.
Experience
2-5 Years
Level
Executive
Education
Bachelor Of Engineering
Big Data Developer Resume
Objective : Results-driven Big Data Developer with 5 years of experience in designing and implementing data solutions. Proficient in Hadoop, ETL processes, and data integration, delivering actionable insights to drive business growth.
Skills : Data Modeling, Data Warehousing, Hadoop Ecosystem, ETL Development, Data Pipeline Management
Description :
- Executed data migration from Teradata to Hadoop Data Lake, enhancing data accessibility.
- Consolidated legacy bank data into Hadoop, streamlining data integration.
- Extracted and transformed data from multiple sources into Hadoop for analytics.
- Created ETL scripts using Hive, optimizing datasets for analytics use cases.
- Utilized Unix-based tools to import data from Oracle to HDFS efficiently.
- Developed Hive scripts for data denormalization and aggregation.
- Implemented dynamic partitions and external tables in Hive for improved data management.
Experience
2-5 Years
Level
Junior
Education
Electronics Engineering
Senior Big Data Developer Resume
Objective : Results-driven Big Data Developer with 5 years of experience in designing and implementing data solutions. Proficient in Hadoop, Spark, and data modeling, delivering impactful analytics to drive business decisions.
Skills : Data Analysis, Data Visualization, Hadoop Ecosystem, Spark Framework, Data Warehousing
Description :
- Translated complex business requirements into scalable data solutions.
- Mentored junior developers on best practices in Big Data technologies.
- Resolved tactical data issues with strategic, long-term solutions.
- Conducted thorough problem identification and resolution processes.
- Created and maintained comprehensive technical design specifications.
- Facilitated technical meetings to align project goals and deliverables.
- Effectively communicated technical concepts to diverse audiences.
Experience
2-5 Years
Level
Junior
Education
BS
Big Data Developer Resume
Objective : Results-driven Big Data Developer with 5 years of experience in designing and implementing scalable data solutions. Proficient in data ingestion, processing, and analytics to drive business insights and operational efficiency.
Skills : Hadoop Ecosystem, Spark Framework, Data Warehousing, ETL Processes, SQL Optimization
Description :
- Designed and deployed scalable data systems for processing high-volume event streams.
- Developed ETL processes for data ingestion, enrichment, and indexing of event streams.
- Collaborated with operations for capacity planning and performance tuning of large-scale systems.
- Implemented data-analysis algorithms to extract insights from event streams.
- Engineered distributed, multi-tiered SaaS applications for data processing.
- Worked independently to troubleshoot and resolve technical issues.
- Facilitated cross-team collaboration to overcome technical challenges for clients.
Experience
2-5 Years
Level
Junior
Education
BS
