Resume October

siddharth dhaka

summary

data engineer (3+ yrs, fintech) — built aws data platforms for revenue, risk & payments.
first data hire at 2 startups; delivered real-time etl, microservices, dashboards, pipelines.
skilled in kafka, spark, airflow, glue, redshift, ci/cd for low-latency, data-driven systems.

experience

senior data engineer (founding data engineer)
blazpay ai – ai-driven fintech for portfolio management, payments, cross-border finance
jul 2024 – present

built aws data platform from scratch, ingesting 1m+ events/day with dynamodb/sftp → kinesis/kafka → real-time analytics (<150ms latency).
automated etl with airflow/glue → reduced support tickets 65%, boosted subscription + chat-and-pay for 50k dau.
designed s3 (raw/processed/curated) + redshift/athena → dashboards for investor kpis (profit/loss, delinquent accounts).
developed python ci/cd tooling → cut deploy time 40%, aligned apis/microservices with revenue goals.

data engineer (software engineer – data)
bks mygold – fintech for gold leasing and investments
dec 2022 – jun 2024

modernized etl stack with python/sql/glue/lambda → 40% faster processing (transactions, payments, kyc).
implemented kafka/firehose streaming → fraud detection + wallet monitoring with dynamodb/s3 cdc.
migrated to redshift with star-schema → 50% faster queries for transaction & customer analytics.
built tableau dashboards (kyc, revenue, redemption trends) → near real-time finance decisions.
automated ci/cd with git/jenkins → faster releases, secure payments, subscription renewals.

technical assistance intern
freelance & community work(department of computer science & engineering)
dec 2021 - nov 2022

presented research on scalable data architectures → received commendation from faculty and industry guests.
supported peers in learning python/sql/aws → mentoring new grads and early professionals.
built small-scale freelance solutions for startups (reporting, automation, data cleaning).
contributed to community data projects (etl pipelines, dashboards, data models).
provided hands-on guidance in projects and mock interviews.
assisted juniors with placement prep (data structures, sql, problem solving).

skills

programming: python, sql\
technical: etl pipelines, real-time streaming, cdc, microservices, apis, dynamodb, cockroachdb, s3, segment, sftp, kafka, kinesis, spark, airflow, aws glue, lambda, redshift, athena, tableau, ci/cd (python, git, jenkins)\
fintech domains: profit/loss tracking, subscription models, risk management, fraud detection, delinquent accounts, bankruptcy monitoring, dormant accounts, wallets, payments, scan-and-pay, cross-border transactions, kpis, asset management, real-time analytics\
architectures: event-driven systems, star-schema modeling, ml pipelines\

education

b.tech, inderprastha engineering college, 2018–2022
relevant coursework: data structures, database systems, machine learning

certifications

aws certified cloud practitioner