Mataprasad A. โ CEO
๐ฆ๐๐บ๐บ๐ฎ๐ฟ๐ I am passionate about data and cutting-edge technologies, focusing on designing and building products & solutions. * Led successful projects across Telecom, Insurance, ISVs, and start-ups with strong architecture skills * Expertise in driving solutions and bringing clarity to ambiguous situations in large engagements * Anchor for a team of architects, practice growth, competency building, pre-sales solutions, and "Drona" interviews * Cultivated robust customer relationships, serving as a trusted technical advisor with strategic technology guidance (they almost always wants to work with me!) * Actively engaged in industry discourse, including academia and industry events * Authored technical white-papers and blogs on Data Lake and Data Management solutions ๐ฆ๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น๐๐ถ๐ฒ๐ * Cloud Platforms: AWS, Azure, GCP, OCI * SaaS Platforms: Databricks, Microsoft Fabric, Confluent, Delta Lake * Databases: Netezza, PostgreSQL, Teradata, MS SQL Server, T-SQL, PL/SQL * Programming: Java, Python, Scala * Data Discovery: Solr, ElasticSearch * Transformations: Apache Spark, Flink * Cloud/AWS - S3, Parquet, EMR, lambda, Event Rules, Step Functions, Redshift, AWS Glue, Data Pipeline, RDS * Cloud/Azure - Azure Service Bus, Function Apps, Event Hubs, Stream Analytics Jobs, Cosmos DB, ADF * Streaming/MQ: Apache Kafka, Spark Streaming, Streamsets, Kubernetes * CI/CD: GitLab CI, Harness, Docker, Ansible playbooks * Container Management: Kubernetes, Helm, SparkOperator, Strimzi operator * IaC: Terraform, CloudFormation templates * Monitoring/observability: Prometheus, Grafana, Wavefront, ganglia * NoSQL: Cassandra, HBase, MongoDB, Neo4j, Couchbase, ClickHouse, Aerospike * Querying: Hadoop, Hive, Pig, Athena, Livy, Spring Microservices, ElasticSearch APIs, Trino, Zeppelin nb * Schema Management: Hive Metastore, Confluent Schema Registry, Unity Catalog * Orchestration: Airflow, UC Stonebranch * Performance optimization - Benchmarking of Cassandra using YCSB * Data Science: Spark MLlib, scikit-learn, pandas, MLR, AHC Clustering, Random Forest, NLP, Levenshtein edit distance * Text Processing - NLP, Entity Extraction, Context-based feedback learning * Gen-AI: OpenAI GPT-4, GitHub Copilot, Sourcegraph Cody
Stackforce AI infers this person is a Data Engineering and Machine Learning expert in the Fintech and Telecommunications sectors.
Location: Pune, Maharashtra, India
Experience: 26 yrs 1 mo
Skills
- Data Engineering
- Machine Learning
- Cloud Engineering
Career Highlights
- Expert in data engineering and machine learning solutions.
- Proven track record in architecting scalable data platforms.
- Strong leadership in technical guidance and team mentoring.
Work Experience
Ness Digital Engineering
Chief Architect (Data, ML, AI) (1 yr 5 mos)
Persistent Systems
Chief Architect (4 yrs 3 mos)
Principal Architect (1 yr 9 mos)
Sr. Solutions Architect (4 yrs 2 mos)
Solutions Architect (2 yrs 1 mo)
Sr. Tech Specialist (2 yrs 9 mos)
Technical Specialist (2 yrs 5 mos)
SMTS (2 yrs 8 mos)
Vishwakarma Institute of Information Technology
Member of Industrial Advisory Board (5 yrs 11 mos)
Atos Syntel
Senior Analyst (11 mos)
IBM
Senior Software Engineer (7 mos)
Softcell Technologies Global Pvt. Ltd.
Software Engineer (1 yr 10 mos)
Siemens
Graduate Trainee Engineer (1 yr 3 mos)
Education
Bachelor's degree at Vishwakarma Institute Of Technology
HSC at Sir Parashurambhau College - India
SSC at BRAHV