Sandish Kumar H N Email & Phone Number

Houston, Texas, US

Designing, Developing & Deploying Scalable Machine Learning Models in Production (Airflow, Spark, Python, Kubernetes, MLFlow)Spark, Kafka (Kafka Streams), Airflow, Kubernetes, Cloud, Java, Scala, Python, Go, GrapphQL, Protobufs, Cassandra, Elastic Search, CI-CD.Building IoT Products on Cloud with Cloud Native Support (K8s, Docker, Jenkins.

Wilmington, Delaware, US

Designed and Developed spark-protobuf. EPIC - https://issues.apache.org/jira/browse/SPARK-40653- Designed and Implemented spark-protobuf support from the ground up. - Added from_protobuf and to_protobuf functions in Scala, Java, and PySpark- Made changes to new use error classes for Spark-Protobuf exceptions- Worked on fixing bugs, unit tests, and adding.

Wilmington, Delaware, US

- Designed and Implemented Scaler functions for array types, and string types. array_reverse_int, array_reverse_string, array_sort_int, array_sort_string, array_index_of_int, array_index_of_string, array_contains_int, array_contains_string, strpos, strrpos, strrpos, to_utf8, normalize, normalize, split, replace, hammingDistance, array_concat_int.

Wilmington, Delaware, US

- I worked on bug fixes such as style checks and nit checks. - Made changes to use only google annotations GuardedBy instead JavaX- Made changes to set Test timeout higher for SegmentManagerThreadSafetyTest- Added StructuralSearchInspection, Prohibit check on.

Wilmington, Delaware, US

- Designed and Implemented Helm chart to build Apache Kudu Kubernetes cluster. A cloud-native Support.- Added Kudu kubernetes statefulset manifest and worked on docker image changes. - Implemented kudu client tools for Hadoop and spark import/export(csv,parquet,avro)

Wilmington, Delaware, US

- Designed and Implemented Kudu Put Operations support for Nifi- Made changes to improve Nifi HBase Scan Processor- Worked on adding Cassandra Connection Enable Compression, the Capability to activate compression on Cassandra connection.

Wilmington, Delaware, US

- Designed and Implemented Incremental Merging for Parquet File Format- worked bugs, nit, and unit tests

Minneapolis, MN, US

- Identified and resolved performance issues in long-running Spark applications using advanced techniques like analyzing thread dumps, memory usage, and garbage collection metrics. Tuned Spark applications to achieve faster performance by adjusting garbage collectors and memory settings. Developed a Spark application that significantly reduced Solr index.

San Jose, California, US

Worked as an R&D engineer, I collaborated with the business analyst team to gain insights from the company's internal software data. I developed numerous big data pipelines to process vast amounts of McAfee security data, storing them in analytics databases for informed business decisions. Additionally, I created multiple Spark Core, SQL, Streaming, and.

San Jose, California, US

- I have an extensive track record working on numerous Big Data projects for esteemed clients like Intel, Hortonworks, Grid Gain, and Microsoft. One notable accomplishment was developing Yardstick Apache Spark, a set of benchmarks written on the Yardstick framework to assess Apache Spark's performance. Additionally, I conducted a Comparative Analysis of.

Mumbai, Maharashtra, IN

- I designed and developed software for Bioinformatics and Next Generation Sequencing (NGS) using the Hadoop MapReduce framework and Mongo DB on Amazon S3, Amazon EC2, and Amazon Elastic MapReduce (EMR). - In this role, I created a custom Hadoop MapReduce program for conducting Quality Checks on genomic data, which featured automatic error handling for.

Foster City, CA, US

- Implemented Java HBase MapReduce to load raw seismic and sensor data into the HBase database on a 4-node Hadoop cluster.- Developed RESTful web service application for fetching HBase values in XML and JSON Response format to the UI. - Utilized separate Hive and Pig scripts to aggregate multiple drilling parameter values on a 4-node cluster for downstream.