Hire the Top Freelance Spark Sql Developers in the World

Seasoned Data Engineer with 12+ years of experience working in various data engineering roles for companies that rely on a strong technology core, where the collection, management, and analysis of data play a key factor in their business model. Strong proficiency in Data Warehouse Architecture, Data integration / ETL&ELT development, Data back-end development, BI Reporting, Project Management, leadership in Agile SCRUM environments, Process tuning and optimization. Hands-on experience working on big data engineering in remote enviroments for global companies.

Keshav is a Databricks Certified Data Engineer with 3+ years of experience in ETL development, reporting automation, and cloud data solutions across advertising, finance, and retail. He specializes in pipeline optimization and end-to-end ETL solution development using Python, Spark, SQL, Databricks, Airflow, Apache Superset, PySpark, and AWS (S3, Glue, Lambda, RDS). Some of Keshav's accomplishments include managing 15+ Apache Airflow data pipelines, developing a Python application for end-to-end automation of monthly performance report data extraction from six portfolio companies, architecting a decision analytics pipeline using AWS to ETL financial models to a bitemporal database for audits, and successfully migrating a pipeline to an EKS-hosted framework as an individual contributor.

Renan is a proficient data engineer who possesses a strong background in software engineering, backed by an impressive track record of 15 years of professional experience. Notable contributions include spearheading the development of a Payment Card Industry (PCI) compliance data platform and architecting innovative data solutions on prominent cloud platforms such as AWS and Azure while working with esteemed organizations like Zenvia, PagoNxt, and Neogrid. Renan's proficiency in programming languages such as Scala, Java, Spark, Flink, Hadoop, as well as his extensive knowledge of key technologies like Kafka, AWS, and Azure, make him a valuable asset for any organization.

Shreyank is a Senior Full-stack Python Engineer with 11+ years of experience designing and building scalable back-end systems, APIs, real-time data applications, and distributed services across AWS, Azure, and GCP environments. He designs, builds, and scales data systems that power critical business decisions and ML platforms, specializing in turning complex data challenges into secure, performant, and production-grade solutions. Passionate about creating reliable, observable, and cost-efficient data systems, Shreyank has architected real-time streaming data pipelines, batch ETL workflows, cloud-native lakehouses, and analytics platforms that handle billions of records.

Shreya is an IT professional specializing in database administration, data analytics, and Big Data technologies. She has extensive hands-on expertise with the Hadoop ecosystem, including Apache Spark, MapReduce, Spark Streaming, PySpark, Hive, HDFS, Kafka, Sqoop, and Oozie. Shreya designs and implements end-to-end ETL workflows using Azure Data Factory and Databricks, leveraging PySpark and Spark SQL for scalable data processing. She is also skilled in developing CI/CD scripts and managing automated deployment pipelines within Azure environments.