SQL Developer Resume

SUMMARY

Experienced in managing projects involving data warehouses, SQL databases, cloud services,cloud based applications.
Professionally Certified on Google Cloud Platform for Architect as well as Data Engineer
Strong Data Warehouse building skills
Built Data Mart/s for leading Retail store for 600 stores from ground up in 6 months
GCP cloud services:Big Query, DataFlow, Kubernetes, Pub/Sub, IAM, Networking, Cloud SQL, BigTable, Containers
Expert and Hands on in coding and writing scripts BigQuery, Cloud SQL, Oracle, MySQL,Apache Spark, Kafka, Hive SQL
Successfully implemented BigQuery DW including design and development
Reduced ETL time by 93% for financial quarterly processing on big data platform (Hive)
Hands on SQL scripting, SQL performance tuning
Visualization tools like Data studio,, QlikView
Merged 5 big applications by rolling schema and data into one for NASA
Expertise in HBase, HIVE, Hadoop stack, BI tools, Oracle, Informatica, MySQL, Tableau
Experience compiling data sets, generating correlations, and presenting data/results to key stakeholders.
Workflow management tools like Airflow, Oozie
Familiarity with Spark programming paradigms (batch and stream - processing)
RESTful API services
Strong programming skills in Python, Java, Scala as well as Unix/Linux shells
Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques
Experience implementing software around data processing, metadata management, ETL pipeline tools like Airflow
Experience working with cross-functional teams in a fast-paced environment
Excellent written and oral communication skills.
Ability to work independently and ability to collaborate on cross-functional teams.
Strong multitasking and time management skills with ability to independently set priorities to meet deadlines.
Built highly scalable Applications.
Part of Best Google Engineering Team in 2007
Cisco systems Achievement Award for CARAT project 2002
Worked on sentimental analysis and face recognition
Working on building AI Chatbot using Tensorflow

TECHNICAL SKILLS

Google Cloud: IAM, Networking, BigQuery, GCE, App engine,Gcloud, Dataflow, Composer, Data Studio,Containers, Kubersetes, Firewalls, GCS, Pub/sub, Google Databases, Dataproc (Hadoop), StackdriverGoogle Certified Professional Data Engineer and Certified Professional Architect

Hadoop: HDP, Hive, HDFS, Oozie, HBase, Zookeeper, Mahut, Flume, Yarn, Ambari,Sqoop

Databases: Oracle, MySQL, Cloud SQL,BigQuery, BigTable,, MongoDB, Cloud Spanner, Redis,MS SQL,PostgreSQL

Streaming: Kafka, Google Pub/sub

Languages: Python, Java, R,PL/SQL, Bash scripting, SQL, Javascript,Terraform

Tools: Oracle Golden Gate, Informatica, ErWin, Toad, SQL*Loader, Workflow tools Autosys,Tableau, Qlikview, Eclipse, PyCharm, PySpark, Jupyter notebook

Technologies: CI/CD, Containers, deployments, monitoring, security,Nginx, Gunicorn,Flask,Keras,Google Cloud

PROFESSIONAL EXPERIENCE

Confidential

SQL Developer

Responsibilities:

Model is served using REST Api using Keras and Flask
Model is built and dockerized
Docker container is deployed to Docker Hub
Kubernetes cluster with 4 nodes deployed on GCP
App is deployed on Kubernetes cluster

Google Cloud Platform Data Engineer

Confidential

Responsibilities:

Improved security as users can not access data does not belong to them
Thousands of requests served due to K6s
Asynchronous request processing
Optimal use of Big Query query processing and storage
Tracking and logging users with their request for data details

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