Manish Lalwani

About Manish Lalwani

Experienced Staff Engineer specialising in Data Platform solutions, with expertise in architecting and optimising robust data infrastructure and fostering a data-driven culture. Passionate about leveraging data\'s power to drive strategic decisions and foster innovation.Proficient in handling terabytes of data daily.Cloud expertise: AWS (Lambda, Kinesis, Glue, RDS, S3, Athena, EMR, EC2, KMS, Redshift, DynamoDB), Azure (ADLS, EventHub, Synapse, Azure Data Explorer, CosmosDB, Azure Data Factory), GCP (BigQuery, Google Analytics, Firebase).Skills include Data Engineering, Data Pipelines, Cloud-native solutions, and scalable backend microservices.Proficiency in Java, Scala, Python, Spring Boot, REST API, Apache Spark, Spark Streaming, Kafka, Kafka Streams (KStreams), Apache NiFi, DBT, HBase, Apache Druid, Redis, MongoDB, Elasticsearch, Delta Lake, Cassandra, Oracle, and MySQL.Familiarity with data formats like Parquet, Avro, and OpenTable formats.Experience with visualization and orchestration tools such as Power BI, Apache Superset, Airflow, Control-M, Azkaban, and Jenkins.

Experience

1. Senior Data Engineer

   Amazon

   Nov 2024 — Present

Education

• Central Board of Secondary Education

  Maths and Science

  2007 — 2008

• Chhattisgarh Swami Vivekanand Technical University

  Bachelor of Engineering (B.E.)

  2008 — 2012

Skills

• Web Services
• Agile Application Development
• Jira
• Hadoop
• Git
• Leadership
• Apache Camel
• Java
• Hive
• Xml
• Apache Kafka
• Data Analysis
• Apache Pig
• Research
• Powerpoint
• Microsoft Excel
• Spark
• Oracle
• Requirements Analysis
• Sql
• Restful Webservices
• Linux
• Javascript
• Html
• Microsoft Office
• Training
• Core Java
• Agile Methodologies
• Management
• C++
• Apache Spark
• Big Data
• Microsoft Word
• Mysql
• Sqoop
• Github
• C