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a4ea2b94ee
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alice-hust
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| 93ef40e0c0 | |||
| 0bed3433dd | |||
| 46094645b1 |
6
flake.lock
generated
6
flake.lock
generated
@@ -20,11 +20,11 @@
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},
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"nixpkgs": {
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"locked": {
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"lastModified": 1774386573,
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"narHash": "sha256-4hAV26quOxdC6iyG7kYaZcM3VOskcPUrdCQd/nx8obc=",
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"lastModified": 1777268161,
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"narHash": "sha256-bxrdOn8SCOv8tN4JbTF/TXq7kjo9ag4M+C8yzzIRYbE=",
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"owner": "NixOS",
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"repo": "nixpkgs",
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"rev": "46db2e09e1d3f113a13c0d7b81e2f221c63b8ce9",
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"rev": "1c3fe55ad329cbcb28471bb30f05c9827f724c76",
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"type": "github"
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},
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"original": {
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45
resume.tex
45
resume.tex
@@ -116,14 +116,6 @@
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\end{multicols}
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\end{center}
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%-----------EDUCATION-----------
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\vspace{-1.5em}
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\section{Education}
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\resumeSubHeadingListStart
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\resumeEducation
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{Stevens Institute of Technology}{Hoboken, NJ}{Aug. 2018 -- May 2022}
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{B.S. of Computer Science, Minor in Literature}{GPA: 3.34/4.0}
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\resumeSubHeadingListEnd
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%-----------TECHNICAL SKILLS & CERTIFICATIONS-----------
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\section{Technical Skills \& Certifications}
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@@ -131,7 +123,7 @@
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\begin{multicols}{2}
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\small{
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\textbf{Languages}{: C/C++, Python, Java, Bash, Typescript} \\
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\textbf{Languages}{: Python, Java, Nix, Bash, SQL, C/C++, Typescript} \\
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\textbf{Frameworks}{: Hadoop, Apache Airflow, Kubernetes, Docker} \\
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\textbf{Databases/Lakehouses}{: Starburst, Databricks, Iceberg, Hive,
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CockroachDB, OracleDB }\\
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@@ -155,25 +147,25 @@
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{JPMorgan Chase}{Jersey City, NJ}
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\resumeItemListStart
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\resumeItem{Designed and deployed configurable data ingestion framework
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using Iceberg CTAS and time-travel for zero-outage updates,
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orchestrating 200+ refinement pipelines with automated data
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using Iceberg CTAS and time-travel for zero-outage updates,
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orchestrating 200+ refinement pipelines with automated data
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reconciliation across four zones (OLTP, raw, trusted, refined)}
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\resumeItem{Implemented PyArrow-based validation and dual-engine
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architecture supporting on-prem (Starburst) and off-prem (Databricks)
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architecture supporting on-prem (Starburst) and off-prem (Databricks)
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reporting for 50+ downstream teams}
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\resumeItem{Architected and implemented Apache Airflow orchestration
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supporting 1,000+ tasks per DAG with templated configuration-driven
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design, tiered pooling to prevent resource exhaustion, and automated
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supporting 1,000+ tasks per DAG with templated configuration-driven
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design, tiered pooling to prevent resource exhaustion, and automated
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partition registration in Trino for large Hive tables}
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\resumeItem{Led weekly office hours to help onboard new datasets and
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trained 10 developers to operate and extend the framework across
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trained 10 developers to operate and extend the framework across
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multiple applications, reducing MTTR for incidents}
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\resumeItem{Led Kubernetes resource optimization across 30+ services in
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three applications, implementing best-effort QoS in dev and test
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environments while tuning production resources, achieving \$50k
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three applications, implementing best-effort QoS in dev and test
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environments while tuning production resources, achieving \$50k
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annual cost savings in reservations and usage}
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\resumeItem{Created reusable Helm charts and a shared service layer
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that enabled 4 platform teams to deploy and configure UI services
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that enabled 4 platform teams to deploy and configure UI services
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more consistently}
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\resumeItemListEnd
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@@ -185,10 +177,10 @@ more consistently}
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{JPMorgan Chase}{Jersey City, NJ}
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\resumeItemListStart
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\resumeItem{Owned production support for 30 applications across
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multiple teams, including deployment approvals, incident response,
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multiple teams, including deployment approvals, incident response,
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root cause analysis, and post-mortems}
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\resumeItem{Served as primary support engineer for a Hadoop-based data
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lake platform spanning Tableau, Kubernetes, Cloud Foundry, Dremio,
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lake platform spanning Tableau, Kubernetes, Cloud Foundry, Dremio,
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and S3-compatible object storage}
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\resumeItem{Served as the team expert on Linux, networking, and
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Hadoop infrastructure supporting business-critical applications}
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@@ -199,8 +191,8 @@ applications, improving alert coverage and observability consistency}
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\resumeItem{Automated disaster recovery procedures for a subset of
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production applications, reducing manual failover steps}
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\resumeItem{Automated historical data reload workflows using backup
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cluster for reprocessing and merge back to primary Hive datasets,
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reducing 72 hours of manual effort to zero and enabling on-demand
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cluster for reprocessing and merge back to primary Hive datasets,
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reducing 72 hours of manual effort to zero and enabling on-demand
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backfill capabilities}
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\resumeItemListEnd
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@@ -302,4 +294,13 @@ to improve reliability in navigation}
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%\resumeSubHeadingListEnd
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%-----------EDUCATION-----------
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\vspace{-1.5em}
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\section{Education}
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\resumeSubHeadingListStart
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\resumeEducation
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{Stevens Institute of Technology}{Hoboken, NJ}{Aug. 2018 -- May 2022}
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{B.S. of Computer Science, Minor in Literature}{GPA: 3.34/4.0}
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\resumeSubHeadingListEnd
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\end{document}
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Reference in New Issue
Block a user