What database technologies, data structures, and query languages are you familiar with?

I am familiar with a variety of database technologies such as SQL and NoSQL. I have experience working with relational databases like MySQL and PostgreSQL, as well as document-oriented databases like MongoDB. In terms of data structures, I have worked with arrays, linked lists, stacks, queues, and trees. As for query languages, I am proficient in SQL and have written complex queries involving multiple tables and join operations.

In addition to working with SQL and NoSQL databases like MySQL, PostgreSQL, and MongoDB, I have experience with distributed databases like Apache Cassandra and Amazon DynamoDB. I have designed and implemented database schemas and optimized queries for performance. In terms of data structures, I have also worked with hash tables, graphs, and tries. I have written advanced SQL queries involving subqueries, window functions, and complex joins. Additionally, I have used query optimization techniques to improve the efficiency of queries.

In my previous role as a Senior Quantitative Researcher, I worked extensively with database technologies such as SQL, NoSQL, and distributed databases like Apache Cassandra and Amazon DynamoDB. I have designed and managed large-scale databases with billions of records, ensuring high availability and fault-tolerance. I have implemented database partitioning and sharding strategies to handle big data efficiently. In terms of data structures, I have used Bloom filters, hyperloglogs, and skip lists to optimize storage and retrieval. I have also leveraged advanced indexing techniques like inverted indexes and bitmap indexes for faster query performance. In addition to SQL, I have worked with data manipulation languages like HiveQL and Pig Latin for large-scale data processing. I have built data pipelines using tools like Apache Kafka and Apache Spark for real-time data ingestion and processing. My experience with database technologies, data structures, and query languages has allowed me to efficiently handle and analyze large volumes of financial market data.