Abdur Rahman Daanish

Senior Software Engineer

Toronto, Ontario, Canada4 yrs 10 mos experience

Highly Stable

Key Highlights

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and Fintech industries.

Distributed SystemsSoftware Development

AWSAkkaAmazon EKSApache BeamApache DruidApache FlinkArgoAthenaCC++ClickhouseCode ReviewDB2Db2Docker

I am a software engineer experienced in building scalable, reliable and highly available geographically distributed systems.

Mar 2023 – Present · 3 yrs · Toronto, Ontario, Canada

Creating Observability platform to enhance Developer Experiences at Intuit, incorporating metrics, traces, events,
and logs. This system is pivotal in significantly reducing the Mean Time to Detect (MTTD) issues across the entire
application suite, including web and mobile applications, as well as services running on Kubernetes and AWS.
Drove Insights and Enhanced User Interaction Performance: Spearheaded the analysis and enhancement of user
experiences across all Intuit applications by processing 12 billion interactions and 20 billion performance metrics
daily. Our efforts led to significant insights, enabling all app developers to efficiently meet the SLA of executing 75%
of all user interactions within an impressive 2.5 seconds.
Contributor to Numaproj: Intuit’s open source kubernetes native stream processing platform written in Golang.
Designed and implemented a rigorous testing framework dedicated to verifying the correctness of the Numaflow
system. This framework serves as a critical safeguard, ensuring that new infrastructure changes do not compromise
existing functionalities, thereby maintaining the system’s integrity and reliability.
Tech stack: Golang · Docker · Kubernetes · GraphQL · AWS · Clickhouse · Apache Flink · Java · SQL · Redis · Athena ·
Apache Druid · S3 . Majority of implementation in Golang.

GolangDockerKubernetesGraphQLAWSClickhouse+9

May 2018 – Oct 2022 · 4 yrs 5 mos

Leveraged knowledge of Cash Equity transactions and trading practices to engineer scalable and low-latency
solutions for the Equity Data Platform and Analytics team.
Engineered a Generic Enrichment Framework for Apache Flink utilizing Java annotation processing, facilitating the
rapid design and administration of stateful and stateless data pipelines. This framework slashed development time
from weeks to mere hours.
Architected and integrated an LRU Cache mechanism into Apache Flink, optimizing stateful operations to achieve a
50% reduction in latency and boosting the pipeline’s throughput by 30%.
Developed an operational data store, enabling the storage, versioning, and querying of risk calculation outcomes for
both internal and external reporting. This solution featured the capability to establish catalogs for datasets and
generate snapshots, facilitating comprehensive data management and accessibility.
Tech stack: Vert.x · RxJava · HaProxy · SybaseIQ · DB2 · SQL . Apache Flink · Kafka · Vert.x · AWS · Memsql · Dremio · Hdfs · RocksDB · RxJava · Spring Boot · HaProxy ·
SybaseIQ · DB2. Majority of implementation in Java.